p-Index From 2021 - 2026
38.592
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TEKNIK INFORMATIKA Jurnal Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Masyarakat Informatika Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) AMIKOM ICT AWARD 2010 Jurnal Sains dan Teknologi Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Rekam : Jurnal, Fotografi, Televisi Animasi Dinamika Informatika JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Among Makarti INFOKAM Jurnal Pseudocode SITEKIN: Jurnal Sains, Teknologi dan Industri Nuansa Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Telematika JUITA : Jurnal Informatika Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) POSITIF ELINVO (Electronics, Informatics, and Vocational Education) Infotech Journal JURNAL SPASIAL Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Jurnal Inspiration KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Bioedukasi JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Pendidikan Informatika dan Sains Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Creative Information Technology Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sains Dan Teknologi (SAINTEKBU) Journal of Electrical Technology Jurnal Komputer Terapan Syntax Literate: Jurnal Ilmiah Indonesia Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Insect (Informatics and Security) : Jurnal Teknik Informatika Jurnal Eksplora Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Komtika (Komputasi dan Informatika) specta: Journal of Photography, Arts, and Media JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Informatika Universitas Pamulang Applied Information System and Management Jurnal Sisfokom (Sistem Informasi dan Komputer) ILKOM Jurnal Ilmiah RESEARCH : Computer, Information System & Technology Management DoubleClick : Journal of Computer and Information Technology JurTI (JURNAL TEKNOLOGI INFORMASI) Voice Of Informatics MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Journal of Economic, Management, Accounting and Technology (JEMATech) JUTEKIN (Jurnal Manajemen Informatika) JURTEKSI Multitek Indonesia : Jurnal Ilmiah KOMPUTIKA - Jurnal Sistem Komputer Aptisi Transactions on Management Jurnal Riset Informatika Jambura Journal of Informatics JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal FATEKSA : Jurnal Teknologi dan Rekayasa EKUITAS (Jurnal Ekonomi dan Keuangan) JSI (Jurnal sistem Informasi) Universitas Suryadarma CSRID (Computer Science Research and Its Development Journal) Jurnal Ilmiah Sinus Jurnal Teknologi Terpadu Informasi Interaktif Bitnet: Jurnal Pendidikan Teknologi Informasi CCIT (Creative Communication and Innovative Technology) Journal EDUMATIC: Jurnal Pendidikan Informatika JMAI (Jurnal Multimedia & Artificial Intelligence) METIK JURNAL Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Technologia: Jurnal Ilmiah SENSITEK Gema Wiralodra Infotekmesin Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics KURVATEK Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Dinasti International Journal of Education Management and Social Science Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Tecnoscienza Generation Journal Jurnal Mnemonic Respati Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi Jurnal Abdi: Media Pengabdian Kepada Masyarakat Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics PRAJA: Jurnal Ilmiah Pemerintahan Indonesian Journal of Electrical Engineering and Computer Science G-Tech : Jurnal Teknologi Terapan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Innovation Information Technology and Application (JINITA) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat CAHAYA tech Aiti: Jurnal Teknologi Informasi Infotek : Jurnal Informatika dan Teknologi Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) Jurnal Teknimedia: Teknologi Informasi dan Multimedia JNANALOKA Journal of Electrical Engineering and Computer (JEECOM) JINAV: Journal of Information and Visualization Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) International Journal of Artificial Intelligence and Robotics (IJAIR) Mitra Mahajana: Jurnal Pengabdian Masyarakat Prosiding SNAST International Journal of Computer and Information System (IJCIS) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) DEVICE Djtechno: Jurnal Teknologi Informasi JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Jurnal Pengabdian Seni KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) Journal of Technology and Informatics (JoTI) Indonesian Journal of Networking and Security - IJNS Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Journal Computer Science and Informatic Systems : J-Cosys Jurnal Mandiri IT Jurnal Ekonomi dan Teknik Informatika D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer Sulawesi Tenggara Educational Journal Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) JURNAL PAI: Jurnal Kajian Pendidikan Agama Islam Jurnal Sisfotek Global International Journal Artificial Intelligent and Informatics Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Dinamika Informatika (JDI) Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Journal of Innovation Research and Knowledge EXPLORE Journal of Information Systems for Public Health Techno SENTRI: Jurnal Riset Ilmiah Prosiding University Research Colloquium Malcom: Indonesian Journal of Machine Learning and Computer Science Nusantara of Engineering (NOE) Jurnal Bangkit Indonesia Jurnal Permata Indonesia Journal of Scientific Research, Education, and Technology Jurnal Penelitian Rumpun Ilmu Teknik Innovative: Journal Of Social Science Research Jurnal Multidisiplin Sahombu COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Nusantara Journal of Computers and its Applications Jurnal INFOTEL SmartComp Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Teknomatika: Jurnal Informatika dan Komputer Journal of Innovative and Creativity Jurnal Teknik Elektro dan Komputer Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Explore Scientific Journal of Informatics Buffer Informatika Panggung Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Teknik AMATA Jurnal Sistem Informasi Komputer dan Teknologi Informasi Jurnal TAM (Technology Acceptance Model) Jurnal Sistem Informasi dan Teknologi Informasi Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Honai Jurnal Komtika (Komputasi dan Informatika) Jurnal Bisnis Digital dan Sistem Informasi Energy: Jurnal Ilmiah Ilmu-ilmu Teknik Jurnal Perangkat Lunak
Claim Missing Document
Check
Articles

Pengembangan dan Validasi Instrumen Kuesioner pada Model Evaluasi Game Digital Meega+ dengan Exploratory Factor Analysis (EFA) dan Cronbach’s Alpha Kurniawan, Mei; M. Suyanto; Utami, Ema; Kusrini
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 5: Oktober 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025125

Abstract

Kemajuan pesat teknologi Game Edukasi Digital (DEG) berimbas pada meningkatnya kebutuhan evaluasi terhadap game edukasi yang lebih reliabel (dapat diandalkan). Model evaluasi MEEGA+ saat ini masih memiliki keterbatasan dalam hal aspek control dan feedback yang memiliki dampak pada nilai hasil evaluasi. Penelitian ini bertujuan untuk mengembangkan dan memvalidasi instrumen kuesioner MEEGA+ yang berbasis pada pendekatan statistik, termasuk Exploratory Factor Analysis (EFA) dan Cronbach’s Alpha, untuk meningkatkan keandalan dan validitas evaluasi DEG. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan desain survei eksplanatori. Instrumen dikembangkan berdasarkan model MEEGA+ yang dimodifikasi, kemudian diuji melalui penyebaran kuesioner daring kepada responden. Studi kasus dilakukan pada game edukasi Minecraft dan Duolingo melalui survei secara daring dengan melibatkan 1.200 siswa SMA yang tersebar di seluruh wilayah Indonesia. Data yang terkumpul dianalisis menggunakan teknik Exploratory Factor Analysis (EFA) untuk mengidentifikasi struktur faktor, dan dilanjutkan dengan pengujian reliabilitas menggunakan nilai Cronbach’s Alpha pada berbagai variasi jumlah butir pertanyaan. Analisis dilakukan melalui variasi kombinasi pertanyaan (sebanyak 1, 2, dan 3 butir). Hasil penelitian kemudian menunjukkan bahwa kuesioner dengan hanya 2 butir pertanyaan (a dan b) ternyata menghasilkan reliabilitas tertinggi dengan nilai Cronbach’s Alpha sebesar 0,903 untuk game edukasi Minecraft dan 0,913 untuk game edukasi bahasa Duolingo. Hasil ini tentu saja melampaui nilai Cronbach’s Alpha model MEEGA+ saat ini yaitu hanya sebesar 0,866. Temuan ini memberikan kontribusi dalam pengembangan instrument alat evaluasi MEEGA+, sekaligus juga mencerminkan kebaruan dalam pendekatan yang digunakan. Instrumen temuan ini diharapkan mampu menjadi alat evaluasi yang lebih relevan dan signifikan untuk mendukung peningkatan kualitas DEG dalam pendidikan modern saat ini dan kedepannya nanti.   Abstract The rapid advancement of Digital Educational Game (DEG) technology has resulted in the increasing need for more reliable evaluation of educational games. The current MEEGA+ evaluation model still has limitations regarding control and feedback aspects that impact the evaluation result value. This study aims to develop and validate the MEEGA+ questionnaire instrument based on a statistical approach, including Exploratory Factor Analysis (EFA) and Cronbach's Alpha, to improve the reliability and validity of the DEG evaluation. The research method used is a quantitative approach with an explanatory survey design. The instrument was developed based on the modified MEEGA+ model, then tested through the distribution of online questionnaires to respondents. The case study was conducted on Minecraft and Duolingo educational games through an online survey involving 1,200 high school students spread throughout Indonesia. The collected data was analyzed using the Exploratory Factor Analysis (EFA) technique to identify the factor structure and continued with reliability testing using Cronbach's Alpha values ​​on various variations in the number of questions. The analysis was done through various question combinations (as many as 1, 2, and 3 items). The study results then showed that the questionnaire with only two questions (a and b) produced the highest reliability with a Cronbach's Alpha value of 0.903 for the Minecraft educational game and 0.913 for the Duolingo language educational game. These results certainly exceed the Cronbach's Alpha value of the current MEEGA+ model, which is only 0.866. These findings contribute to developing the MEEGA+ evaluation tool instrument while also reflecting the novelty of the approach used. It is anticipated that the results of this instrument will be a more pertinent and important assessment tool to help raise the standard of DEG in contemporary education both now and in the future.  
Klasterisasi Pasien Rawat Jalan di Puskesmas dengan Menggunakan Metode Algoritma Clustering K-Means Azkar, Azkar; Kusrini, Kusrini
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1832

Abstract

The Aikmel Utara Public Health Center in Lombok Timur Regency began operating in mid-2019, but has never utilized patient data to obtain information as a basis for decision-making efforts to improve quality of health services and consequently enhance patient satisfaction. The target respondents patient satisfaction survey at the Public Health Center are visitors, the majority of whom are outpatient visitors. The purpose of this research is to group outpatient patients based on variables such as gender, age, participation status in the BPJS health insurance program and patient address, as well as diagnosis of the patient's disease using the k-means clustering algorithm method with the assistance of the RapidMiner application. Patient data totaling 1889 were grouped into 2 clusters, 3 clusters, 4 clusters, and 5 clusters, and evaluated using the Davies-Bouldin Index (DBI). The research results show that the number of clusters formed is 2, with cluster 1 consisting of 1570 data and cluster 2 consisting of 319 data. Cluster 1 is dominated by female patients (1074 or 68.4%), BPJS participants (819 or 52.2%), with the most common age group being adults (883 or 56.2%), and most of them are from Toya village (488 or 31.1%), with the most common diagnosis being acute respiratory infections (J06) (223 or 14.2%). Meanwhile, cluster 2 is dominated by female patients (205 or 64.3%), BPJS participants (202 or 63.3%), with the most common age group being adults (191 or 59.9%), and most of them are from Toya village (108 or 33.9%), with the most common diagnosis being pregnancy examinations (Z34) (29 or 9.1%). From these cluster results, it is obtained that the majority of outpatient visitors at the Aikmel Utara Public Health Center are from Toya village and are dominated by the adult age group and BPJS health insurance participants, with the most common disease being acute respiratory infections. It is hoped that this information can assist the Public Health Center in making decisions or policies related to health programs in its working area
Distributed Denial Of Service (DDOS) Attack Detection On Zigbee Protocol Using Naive Bayes Algoritm Masud, Ibnu; Kusrini, Kusrini; Prasetio, Agung Budi
International Journal of Artificial Intelligence Research Vol 5, No 2 (2021): December 2021
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.085 KB) | DOI: 10.29099/ijair.v5i2.214

Abstract

Distributed Denial of Service or better known as DDoS is an attempted attack from several computer systems that target a server so that the amount of traffic becomes too high so that the server cannot handle the request. DDoS is usually done by using several computer systems that are used as sources of attacks. So they attack one server through several computers so that the amount of traffic can also be higher. A DDoS attack is like a traffic jam that prevents a driver from reaching their desired destination on time. According to data, 33% of businesses in the world have fallen victim to DDoS attacks. DDoS is hard to trace. Some types of DDoS attacks can be very powerful and even reach speeds of 1.35 Tbps. Additionally, DDoS attacks can cause losses of $ 40,000 per hour if they occur. ZigBee is a standard from IEEE 802.15.4 for data communication on personal consumer devices as well as for business scale. ZigBee is designed with low power consumption and works for low level personal networks. ZigBee devices are commonly used to control another device or as a wireless sensor. ZigBee has a feature which is able to manage its own network, or manage data exchange on the network [1]. Another advantage of ZigBee is that it requires low power, so it can be used as a wireless control device which only needs to be installed once, because only one battery can make ZigBee last up to a year. In addition, ZigBee also has a "mesh" network topology so that it can form a wider network and more reliable data. In the previous research of Muhammad Aziz, Rusydi Umar, Faizin Ridho (2019) based on the results of the analysis carried out that the attack information that has been detected by the IDS based on signatures needs to be reviewed for accuracy using classification with statistical calculations. Based on the analysis and testing carried out with the artificial neural network method, it was found that the accuracy was 95.2381%. The neural network method can be applied in the field of network forensics in determining accurate results and helping to strengthen evidence at trial. The Naïve Bayes model performed relatively poor overall and produced the lowest accuracy score of this study (45%) when trained with the CICDDoS2019 dataset [47]. For the same model, precision was 66% and recall was 54%, meaning that almost half the time, the model misses to identify threats. 
Perancangan Sistem Pendukung Keputusan Untuk Prediksi Penerima Beasiswa Menggunakan Metode Neural Network Backpropagation Pujianto, Ade; Kusrini, Kusrini; Sunyoto, Andi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 2: April 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.234 KB) | DOI: 10.25126/jtiik.201852631

Abstract

Seleksi di Amikom masih mengalami kendala pada proses pengambilan keputusan, banyaknya data menyebabkan pengambil keputusan membutuhkan tools yang dapat membantu dalam menentukan penerima beasiswa, salah satu metode yang sering digunakan adalah artificial neural network (ANN). Metode ini meniru jaringan pemodelan saraf otak manusia berupa neuron-neuron untuk menyelesaikan suatu permasalahan. Salah satu penerapan neural network adalah untuk melakukan prediksi atau peramalan terhadap suatu peristiwa tertentu serta dianggap mampu menyelesaikan masalah yang komplek seperti penalaran otak manusia. Untuk menyelesaiakn masalah yang komplek neural network memerlukan banyak neuron atau yang biasa disebut layer (lapis). Salah satu metode neural network multi lapis adalah backpropagation yang mampu mengoptimalisasi bobot pada neuron dan menyelesaikan masalah yang komplek. Hasil dari penelitian ini adalah sebuah perancangan sistem prediksi dengan menggunakan metode neural network backpropagation untuk melakukan peramalan terhadap mahasiswa yang mendaftar beasiswa. hasil akhir penelitian ini adalah nilai akurasi sebesar 90% dan nilai error terkecil sebesar 0,000101 pada epoch ke 329 dengan jumlah 3000 data dengan pembagian data training 2.250 dan 750 data testing serta konfigurasi learning rate sebesar 0,2 dan momentum 0,2. Kata kunci: Artificial Neural netwok, Backpropagarion, Prediksi, beasiswa, Pengambilan Keputusan. AbstractSelection in Amikom is still constrained in the decision-making process, the number of data causing decision makers need tools that can assist in determining scholarship recipients, one of the most commonly used method is artificial neural network (ANN). This method mimics the neural network modeling of the human brain in the form of neurons to solve a problem. One application of neural network is to make predictions or forecasting of a particular event and is considered capable of solving complex problems such as human brain reasoning. To solve the problem the complex neural network requires many neurons or so-called layers. One method of multi layer neural network is backpropagation that is able to optimize the weight of neurons and solve complex problems. The result of this research is a prediction system design using neural network backpropagation method to forecast the students who apply for scholarship. the final result of this research is the accuracy value of 90% and the smallest error value of 0.000101 on epoch to 329 with the amount of 3000 data with sharing training 2,250 and 750 data testing and learning rate configuration of 0.2 and momentum 0.2.Keywords: Artificial Neural Netwok, Backpropagarion, Prediction, Scholarship, Decision Making.
Studi Literatur Mengenai Klasifikasi Citra Kucing Dengan Menggunakan Deep Learning: Convolutional Neural Network (CNN) Linda, Kumara Dewi; Kusrini, Kusrini; Hartanto, Anggit Dwi
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 1 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i1.7480

Abstract

Deep learning merupakan bagian dari machine learning yang memiliki kemampuan untuk mengenali pola gambar, suara, teks dan data lainnya yang kompleks sehingga dapat menghasilkan prediksi yang akurat. Salah satu kemampuan deep learning adalah klasifikasi citra pada objek. CNN adalah salah satu metode dalam machine learning yang digunakan untuk mengklasifikasikan citra objek. Algoritma Convolutional Neural Network (CNN) adalah bagian dari deep learning network yaitu jenis jaringan saraf tiruan yang saat ini banyak digunakan untuk pengenalan suatu citra. Dalam penelitian ini, algoritma yang digunakan adalah CNN karena akurasinya yang cukup baik. Deep learning dengan convolutional neural network (CNN) yang banyak digunakan untuk melakukan deteksi, klasifikasi, dan prediksi pada gambar. Citra objek dalam penelitian ini adalah kucing yang terdiri dari berbagai macam jenis. Tujuan dari penelitian ini adalah untuk mengklasifikasikan citra kucing sesuai dengan jenisnya. Jurnal ini merupakan tinjauan literatur untuk menambah pengetahuan berharga mengenai penelitian terbaru tentang klasifikasi citra kucing menggunakan CNN. Jurnal ini membahas studi literatur tentang variabel input, metode yang digunakan dan hasil literatur dari penelitian sebelumnya. Metode yang paling banyak digunakan pada penelitian sebelumnya adalah CNN
Classification of Coffee Fruit Ripe Levels from the Tree Using InceptionResnetv2, and MobileNetv2 Wijaya, Jodi; Kusrini, Kusrini
Bitnet: Jurnal Pendidikan Teknologi Informasi Vol. 10 No. 1 (2025): Bitnet: Jurnal Pendidikan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bitnet.v10i1.9278

Abstract

Tanaman kopi adalah komoditas ekpor terbesar dalam peningkatan ekonomi negara berkembang. Kopi memiliki peran penting dalam budaya Indonesia, dengan sejarah panjang dan berbagai citra rasa yang kaya. Ada dua jenis utama kopi di Indonesia: Arabika dan Robusta. Kematangan dan pengolahan biji kopi menjadi salah satu pengaruh citra rasa kopi. Untuk menghasilkan biji kopi berkualitas tinggi, proses pemanenan biji kopi yang tepat pada tingkat kematangan yang ideal sangat penting. MobileNet adalah arsitektur jaringan saraf tiruan CNN yang menggunakan konvolusi yang dipisahkan secara kedalaman (depthwise separable convolutions), untuk membuat jaringan yang ringan yang memungkinkan penggunaan sumber daya komputasi yang efektif. Penelitian ini akan memanfaatkan keunggulan arsitektur InceptionResNetV2 dan MobileNetV2 untuk mengatasi masalah yang rumit dengan klasifikasi gambar. Ini juga akan memanfaatkan kemampuan arsitektur MobileNet dan InceptionResNet untuk melakukan transfer learning dari dataset yang lebih besar, seperti ImageNet. Perbandingan dari 2 model yang digunakan hasil performa akurasi yang paling tinggi model MobileNetV2 yang sebesar ± 99%, diikuti InceptionResNetV2 = 90%.
IMPLEMENTASI ALGORITMA C4.5 UNTUK TES KEPRIBADIAN PENERIMAAN KARYAWAN DI DINAS PERHUBUNGAN PROVINSI SULAWESI TENGAH Oktafiqurahman, Andi; Kusrini, Kusrini; Nasiri, Asro
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 11, No 1 (2023): Jurnal TIKomSiN, Vol. 11, No. 1, April 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v11i1.719

Abstract

The employee who has bad performance in working can influence the other employee to disturb many jobs. The purpose of this research is creating prediction system which it makes easier for HRD to select prospective employees who have appropriate personality based on the position, by utilizing the C4.5 algorithm known to be the personality of employees of the Central Sulawesi Provincial Transportation Office with a level of accuracy in the implementation of the C.45 algorithm. Testing using the confusion matrix, obtained a system accuracy of 79.167%. 
Model TangselPay Receipts Using the UTAUT 2 Method Ikhwanudin, Aolia; Kusrini, Kusrini; Prasetio, Agung Budi
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.803

Abstract

The South Tangerang City Government launched a digital financial service called TangselPay. This payment instrument will function as a means of paying levies and other transactions paid by taxpayers, TangselPay is basically a service from the South Tangerang City Government which is accessed via cellular phones (cell phones/smartphones) with the main aim of providing convenience to taxpayers in making levy payments. . . , so that taxpayers do not need to pay cash to the officer. This study aims to determine what factors influence people's interest in using TangselPay services in South Tangerang. The research model used is a modified model of Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). Data collection using purposive sampling method with the number of respondents in this study as many as 116 people in our market Pamulang. The data analysis technique in this study used Structural Equation Modeling (SEM) with SmartPLS version 3.3.3 software. The results of the analysis illustrate that the variables of Performance Expectations (PE) and Facilitation Condition (FC) have a positive effect on Use behavior and interest in use have a positive effect on usage behavior. While the variables of business expectations, social influence and hedonic motivation do not have a direct effect.
Evaluation of Information Technology Governance Using COBIT 5 and ISO/IEC 38500 Toifur, Tubagus; Kusrini, Kusrini; Budi, Agung
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.814

Abstract

Infrastructure Section, Information and Communication Technology Development Division, South Tangerang City Communication and Information Office, one of the main tasks and functions is to provide services and management of internet network infrastructure for all Regional Apparatus Organizations (OPD) in South Tangerang City. The implementation of the Infrastructure Section is constrained by the problem of employee competence that has not reached the standard in internet network management and service, from these problems the researcher intends to evaluate governance using the COBIT 5 framework and ISO/IEC 38500 with recommendations for improvement in the Infrastructure Section. This study uses PAM (Process Assessment Model) with the Guttman scale to determine the results and level of capability. The use of COBIT 5 in this research will focus on the domain of EDM (Evaluate Direct Monitor) point 04, Ensure Resource Management and MEA (Monitor, Evaluate and Assessment) point 01, Performance and Conformance. The results and the level of capability obtained during the research were level 2 Managed Process with a value of 2.46 with a gap of 0.54. The level expected by the Infrastructure Section is at level 3 Established Process with a value of 3.00. Recommendations for achieving Level 3 are used ISO/IEC 38500.
Analisis Kombinasi Algoritma K-Means Clustering dan TOPSIS Untuk Menentukan Pendekatan Strategi Marketing Berdasarkan Background Target Audiens Ngaeni, Nurus Sarifatul; Kusrini, Kusrini; Kusnawi, Kusnawi
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4948

Abstract

The promotion is an annual agenda for STIMIK Tunas Bangsa Banjarnegara. The aim of this promotional activity is to attract more new students every year. On the other hand, campus promotion encounters obstacles in mapping applicant data from previous years so that considerations for new promotion policies are based on data from the school of origin of alumni or students. By using the K-Means Clustering algorithm, applicant data can be grouped according to the background represented through the school origin attribute. , parents' occupation and place of origin. Then the data is processed using DSS with the TOPSIS method to obtain priority references for marketing types for each cluster. The results of calculating the silhouette coefficient value for the five clusters obtained a score of 0.426. Meanwhile, in the ranking process using the TOPSIS method, the first rank was found in cluster 0 with a score of 0.994110. Further stages use the Decision Tree method to obtain output in the form of recommendations for promotion types for each cluster. For example, cluster 0 is recommended to use promotion types with codes P1, P2, P3, P8 and P9.
Co-Authors - Saifulloh A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Aan Indarto ABADI Abda Abda Abdi Firdaus Abdillah, Yahya Auliya Abdul Haris Abdul Malik Zuhdi Abdul Ra'uf Alfansani Abdul Rokhim Abdullah Sukri, M Iqbal Abdullah, Mochamad Fadillah Achmad Agus Athok Miftachuddin Achmad Wazirul Hidayat Achmad Yusron Arif Adadilaga Arya Priwanegara Ade Pujianto, Ade Adhien Kenya Estetikha Adiatma, Biva Candra Lutfi Aditya Hastami Ruger Aflahah Apriliyani Afryansih, Nila Agam Saka Jati Agastya , I Made Artha Agastya I Made Artha Agastya, I Made Artha Agatha Deolika Agianto Syam Halim Agung Andri agung budi Agung Budi Agung Budi Prasetio Agung Budi Prasetyo Agung Jasuma Agung Jasuma Agung Nugroho Agus Harjoko Agus Purwanto AGUS PURWANTO Agus Sriyanto AGUS SULISTIYONO Agus Susilo Nugroho Agustina Rahmawati Ahmad Almas'ud ZD Ahmad Harmain Ahmad Sanusi Mashuri Ahmad Yusuf Ahmad Zarkasih Ahsan, Muhammad Salimy Aidina Ristyawan, Aidina Aiman Ayadi Aisha Alfani Aji Santoso, Bayu Aji Susanto Anom Purnomo Ajie Kusuma Wardhana Akhmad Syarif Akhmad Syarif Akrilvalerat Deainert Wierfi Alfahmi Muhammad Arif Alfatta, Hanif Ali Asgar Zainal Abidin Alva Hendi Muhammad Amanah Azzahra Amanullah, Raynaldi Fatih Amborowati, Armadyahah Amir Bagja Amir Fatah Amir Fatah Sofyan Amrina Rosyada An Braeken Anastasia Meyliana Andayani Andayani Andhika Wisnu Widyatama Andi Bahtiar Semma Andi Bahtiar Semma Andi Muhammad Irfan Andi Sunyoto Andi Suyoto Andi Syahrul Ramdana Andri Rachmatullah Andria Andria Andris Faesal Andriyan Dwi Putra Andriyanto, Rifki Angga Kurniawan Anggi Muhammad Rifa'i Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto, Anggit Dwi Anggit Hartanto Anggraeni, Meita Dwi Aninda Astuti Anjar Anjani Putra Anwar Sadad Aolia Ikhwanudin Aolia Ikhwanudin Apriliyani, Aflahah Aprison Wolla Gole Ardana, Wildan Muhammad Ardana, Wildan Muhammmad Ardiansyah, Fachri Arfiani Nur Khusna Arham Rahim Ari Ari Suhartanto Ari Fitriyandhi Ari Suhartanto Ari Yuana, Kumara Arief Setyanto Arief Setyanto Arief Tri Nugroho Arief, M Rudyanto Arief, M. Rudyanto Arief, Muh. Rudyanto Arief, Muhammad Rudyanto Arief, Rudyanto Ariel Yonatan Alin Arif Budiman Arif Fajar Solikin Arif Fajar Solikin Arif Fajar Solikin Arifuddin, Danang Arik Sofan Tohir Aris Subadi Arli Aditya Parikesit Armadyah Amborowati Armadyah Amborowati Armadyah Amborowati Arnap, Adam Arnila Sandi Arridho, Muhammad Noor Arwendra Adi Putra Asnawi, Muhamad Fuat Asri, Saffinah Indah Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasrini Assani, Moh. Yushi Atika Dwi Cahyani Atin Hasanah Attar Raihan Nazhif Awaludin Abid Ayu Adelina Suyono Azi, Amanda Azib Widad Zuhaily Imam Azis Wahyudi Aziz Muslim Aziz Muzani, Ma'ruf Aziz, Moh Abdul Azkar, Azkar B, Isdayani B. R., Endah Bagas Dwi Novianto Bahrun Ghozali Banu Santoso Bayu Setiaji Bentar Candra P Bernadhed, Bernadhed Bhanu Sri Nugraha Bimantyoso Hamdikatama Bisono, Hadi Hikmadyo Bondan Wahyu Pamekas Braeken, An Brenstein Mawene Bruno da Silva Burhanudin Dwi Prakoso Candra Adipradana Candra Rusmana Candra, Kurnia Khoirul Choerun Asnawi Christian Budi Andrianto, Christian Budi Christin Nandari Dengen Christin Nandari Dengen Christin Nandari Dengen Christin Nandari Dengen D. Diffran Nur Cahyo da Silva, Bruno Danang Eko Prayogo Danang Wahyu Widodo Danuri Danuri Darno - David Agustriawan David Agustriawan David Budi Hartanto David Junggu Manggala Pasaribu dayat subekti Dede - Sandi Dede Husen Dedi Gunawan Dema Matias L Tobing Dengen, Christin Nandari Denny Saryanto Desty Yani Destyanto, Febrian Devina Ninosari DHANI ARIATMANTO Dhani Ariatmanto Dhani Ariatmanto Dhani Ariatmanto Dias Ayu Budi Utami Dibyo Sudarsono Didik Irawan Dimaz Arno Prasetio Dina Maulina Dina Maulina Dina Maulina Dina Maulina Djatmiko, Widdi Dody Pradipta Doni Briyan Wahyudi Donny Yulianto Dwi Astuti DWI ISKANDAR Dwi Utami Dwi Yuli Prasetyo Dwinda Etika Profesi Dwinda Etika Profesi Dzalfa Tsalsabila Rhamadiyanti Dzulhijjah, Dwi Ahmad Eddy Nurraharjo Eddy Nurraharjo Eka Wahyu Pujiharto Eka Wahyu Sholeha Eka Yulia Sari Ekastini Ekastini Ekastini Ekastini Eko Boedijanto Eko Pramono Eko Pramono Eko Pramono Eko Pramono Eko Pramono Eko Pramono Eko Purwanto Eko Purwanto Eko Purwanto Eko Rahmad Darmawan Eldas Puspitarini, Eldas Elfandry Bayunanda Elfrida Ratnawati Elik Hari Muktafin Elik Hari Muktafin Elik Hari Muktafin Eliza Staviana Elok Noor Farida, Elok Noor Elvis Pawan Elvis Pawan Ema Utami Ema Utami Ema Utami Ema Utami Ema Utami Emha T aufiq Luthfie Emha Taufik Luthf Emha Taufiq Luthfi EmhaTaufiq Lutfi, EmhaTaufiq Endah Herminarimawati Enni Lidrawati Erfan Tongalu Eri Sasmita Susanto Erwin Apriliyanto Erwin Apriliyanto Eva Oktaviani Fahma Inti Ilmawati Fahri Alviansyah Fahrizal Maulana Fahrullah, Fahrullah Fajar Dwi Insani Fajar Sodik Fajar Sudana Putra Fandli Supandi Fandli Supandi Fareza Aditiyanto Nugroho Fathoni Mahardika Fatkhurohman, Ari Fatkhurrochman, Fatkhurrochman Fauji Maulana Ramlan, Fauji Maulana Fauzi, Moch Farid Fauzy, Marwan Noor Febrianti, Winda Febriyanti, Nada Rizki Fendy Nugroho Fendy Prasetyo Nugroho Fendy Prasetyo Nugroho Fernandito, Durand Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Firman Sriyono Firmanda Fasya Firza Septian Fitriani Fitriani fitriyanto, nur Fitrony, Fachri Ayudi Fiyas Mahananing Puri Fredricka, Jhoanne Friden E Neno Fryda Fatmayati Gifari, Okta Ihza Gigih Setyaji Guido Adolfus Suni Gutama, Deden Hardan Hadi Hikmadyo Bisono Hadi Sucipto Hadryan Eddy Hafidz Sanjaya, Hafidz Halimi, Ahmad Hamada Zein Hamdikatama, Bimantyoso Hanafi Hanafi Hanafi Handoko Adji Pangestu Hanif Al Fatta Hari Agustiyo Hari Muktafin, Elik Haris, Ruby Hartono, Anggit Dwi Haryo, Wasis Hasan, Nur Fitrianingsih Hasan, Nurul Rahmawati Hasim As'ari Hasim Hasirun Hasirun Hasnan Afif Hasni Anas Henderi Henderi . Hendriansyah Santosa Hendrik Hendrik Henri Kurniawan Henri Kurniawan Herawati, Maimi Heri Abijono Heri Abijono, Heri Heri Santosa Heri Sismoro Herlambang Priantoro Herlinawati, Noor Hery Nurmawan Hery Siswanto Hidayat, Fajar Maula Hidayatunnisa'i Hulvi, Alfajri I Made Adi Purwantara I Made Artha Agastya I Made Artha Agatstya I Putu Agus Ari Mahendra I Wayan Pandu Ibnu Ickwantoro Ichsan Wasiso Ichsan Wasiso Idris Idris Ikhwan Baidlowi Sumafta Ikhwanudin, Aolia Ikmah Ikmah Ilham Aziz Rosadi Ilkham, Sundari Ilkham, Sundari Ilmawati, Fahma Inti Imam Listiono Indra Listiawan Iqbal Iqbal Irfan Purwanto Irma Darmayanti Irwan Oyong Jangkung Tri Nugroho Jazi Eko Istiyanto Jeki Kuswanto Jeki Kuswanto Jemi Yohanis Babys Jimmy H Moedjahedy Joang Ipmawati JOKO PRAYITNO José Ramón Martínez Salio Julia Kurniasih Jumaris Jumaris, Jumaris Junaidi Junaidi Junaidi Sabtu Juwari Juwari Kaharuddin Kanafi Kanafi Kasman, Haris Saktiawan Kelik Sussolaikah Kemal Pasha Khoironi, Khoironi Khoirul Islam Khoirun Nisa Kholil, Moenawar Khomsatun Khomsatun Khusnawi Khusnawi Kristina Vaher Kumara Ari Yuana Kumara Ari Yuana Kumara Ari Yuawan Kurni, Samuel Everth Andrias Kurniadi, Harso Kurniasari, Iin Kusnawi Kusnawi Kusrini, Mashudi Kusuma Chandra Kirana Laka, Beatus Mendelson Lasimin Lewu, Retzi Y. Liana Trihardianingsih Lili Kartikawati Linda, Kumara Dewi Lisda Lisda Listyanto, Ahmad Wildan López, Alba Puelles Lukman Bachtiar Lutfan Lazuardi M Rudyanto Arief M rudyanto Arief M Vaizul Rahman M. Afriansyah M. Bahril Ilmi M. Dedi Iskandar M. Idris Purwanto M. Ilham Arief M. Iqbal Noviansyah M. Irwan Ukkas Irwan Ukkas Ukkas M. Nurul Wathani M. Rudiyanto Arief M. Rudyanto Arief M. Rudyanto Arief M. Rudyanto Arief M. RUDYANTO ARIEF M. Suyanto M. Suyanto, M. M. Syukri Mustafa M. Zainal Arifin M.Andi Rohmat Mahendra, Awanda Putra MAHMUDI Mahmudi Mahmudi Majid Rahardi Mansur Mansur Maradona, Maradona Mardi Utomo Mardiana Mardiana marhalim, marhalim Marissa Utami Marselina Endah Hiswati Marta Ardiyanto Martínez-Béjar, Rodrigo Marwan Noor Fauzy MASRIYAH Masruri, Nizar Haris Masud, Ibnu Mat Sudir Mauludil Asri M. Cane Mawene, Brenstein Maykel Sonobe Maykel Sonobe Megantara, Muhamad Arldi MEI PARWANTO KURNIAWAN Melwin Syafrizal Metha, Halifa Sekar Miftachuddin, Achmad Agus Athok Mochamad Fadillah Abdullah Moh Er Kamim Moh Royandi Azka Moh. Badri Tamam Mohamad Firdaus, Mohamad Mohammad Diqi Mohammad Rezza Pahlevi Moningka, Nirwan Muahidin, Zumratul Muchamat Zainal Arifin Muflich, Alwie Mufti Ari Bianto Muh Saerozi Muh. Rudyanto Arief Muh. Rudyanto Arief Muhamad Arldi Megantara Muhamad Fatahillah Z Muhamad Fuat Asnawi Muhamad Iksan, Muhamad Muhamad Kurniawan Muhamad Nanda Utama Muhamad Ryandy Ghonim Asgar Muhamad Yusuf Muhammad Agus Muljanto Muhammad Alfariz Muhammad Anwar Fauzi Muhammad Azmi Adhani Muhammad Egy Pratama Muhammad Fahmi Muhammad Fajar Apriyanto Muhammad Fajrian Noor Muhammad Febrian Fansuri Muhammad Firdaus Abdi Muhammad Firdaus Abdi Muhammad Koprawi Muhammad Mariko Muhammad Nafi’Uddin Muhammad Resa Arif Yudianto Muhammad Riandi Widiyantoro Muhammad Ricky Perdana Muhammad Ricky Perdana Putra Muhammad Riza Eko S Muhammad Rudyanto Arief Muhammad Rudyanto Arief Muhammad Rudyanto Arief Arief Muhammad Salimy Ahsan Muhammad Suyanto Muhammad Suyanto Muhirin Muktafin, Elik Hari Mukti Adi Azhari Mukti Ali Mulia Sulistiyono Muqorobin Muqorobin Muqorobin Muqorobin Muqorobin Muqorobin Muqorobin, Muqorobin Musa Hendri Janto Rahanra Muslihah, Isnawati Musthofa Galih Pradana Mutiara Dwi Anggraini Mutiara Dwi Anggraini Muzakir, Muhammad MZ, Reza Rafiq Nabawi, Isnan Nabila Payapo Nadea Cipta Laksmita Nafis Sururi Nanang Prasetiyantara Nasiri, Asro Neno, Friden Elefri Ngaeni, Nurus Sarifatul Ni Nyoman Utami Januhari Nibras Faiq Muhammad Nikko Listio Wicaksono NINIK TRI HARTANTI Nita Helmawati Nona Adinda Ariana Ariana Noor Abdul Haris Norhikmah Norhikmah Noto Narwanto Nova Agustina Noviyanti P Noviyanti P. Nugroho, Agung Nugroho, Hanantyo Sri Nugroho, Rakhmat Prasetyo Agung NUK GHURROH SETYONINGRUM Nulngafan, Nulngafan Nur Fitriyanto Nur Hamid Sutanto Nurcahyo, Azriel Christian Nurita Evitarina Nurmalasari, Maulidya Dwi Nurwijayanti Oktafiqurahman, Andi Olajuwon, Sayyid Muh. Raziq Onde, Mitrakasih La ode Oscar Samaratungga Paiman Paiman Pamoengkas, Muhamad Agoeng Pamungkas, Prima Giri Pamungkas, Sapto Paradise Parsiyono Parsiyono Patmawati Hasan Pawit Srentiyono Prabowo Budi Utomo Prameswari, Sonia Anjani Pramono Pramono Pramudya Insan Prasetio, Agung Budi Prasetio, Dimaz Arno Prasetyo, Adi Prastowo, Wahit Desta Prastyo, Rahmat Pratama, Bayu Trisna Pratama, Muhammad Egy Profesi, Dwinda Etika Profesi, Dwinda Etika Pujianto, Ade Purnamasari, Resti Rachmawati Oktaria Mardiyanto Rachmawati Oktaria Mardiyanto Rahmat Saleh Sukur Rajnaparamitha Kusumastuti Rama Ashari Rama Saktriawindarta RAMADHAN, SYAIFUL Ramlan Ramlan Rantung , Tessa Rasyid, Magfirah Reflan Nuari Rendy Bagus Pratama Retantyo Wardoyo Retzi Yosia Lewu Ridlan Ahmad Riduan, Nor Ridwan Joko Purnomo Rifan Ferryawan Rifqi Hammad Rifqi Hammad Rini Wijayanti Rini, Rini Riovan Styx Roring Ripto Sudiyarno Ririn Putri Damaiyanti Risca Yunita Riska Dwi Handayani Risna Sari Rita Wati Ritham Tuntun Riyan Abdul Aziz Rizal Khadarusman Rizal Sapta Dwi Harjo Rizaldi, Rizaldi Rizkayati, Anisa Rizki Firdaus Mulya Rizki Mawan Rizky Aries Saputra Rizqi Sukma Kharisma Robi Wariyanto Abdullah Rodrigo Martínez Béjar Rodrígo Martínez-Béjar Rohman, Arif Nur Rona Guines Purnasiwi Rooy Thaniket Roy Andika Rudyanto Arief S, Muhamad Rois S, Muhammad Sabri Safagi, Ardian Yuligar Sahirul Muklis Saifudin, Saifudin Saiful Bahri Saikin Saleh, Robby Febrianur Samponu, Yohakim Benedictus Samponu, Yohakim Benedictus Santosa, Hendriansyah SANTRI SANTRI Saputra, Mahmuda Saputra, Rizky Aries Saputro, Moh. Rizal Bayu Saputro, Uyock Anggoro Sari, Yayak Kartika Sari, Yunita Sartika Sarji, Sarji Selvy Megira, Selvy Semma, Andi Bahtiar Sentoso, Thedjo Sepriadi - Bumbungan Sepriadi Bumbungan Setiana, Elia Setianto, Yuni Ambar Setiawan, Moh. Arif Ma'ruf Setyanto, Arif Sewindu Putro Sigit Pambudi Simone Martin Marotta Siswo Utomo, Mardi Siti Delimasari Siti Fatonah Siti Hartinah Siti Juwariyah Siti Maesaroh Siti Nurhayati Siti Rahayu Siti Rihastuti Siti Rokhmah Siti Solekhah Slamet Slamet Slamet Slamet Sobirin, Rahmat Sofyan Pariyasto Sofyan Pariyasto Solikin, Arif Fajar Sri Handayani Sri Hartati Sri Lestari Rahayu Sri Wahyuningsih Sri Wulandari Sri Wulandari Sri Yanto Qodarbaskoro Sriyati, Sriyati Sry Faslia Hamka Sudarmawan Sudarmawan Sudarmawan - Sudarmawan . Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan, Sudarmawan Sudarsono, Dibyo Sudarto Sudarto Sudiana Sudiana Sugi Harsono Sugihandono, Agus Suhardi Marli Suharto Suharto Suhendri Sukasna . Sukasna, Sukasna Supraba, Laksmita Dewi Supriantara Supriantara Supriatin Supriatin Supriyati Supriyati Suputa Suputa Surya Wibowo, Sapta Hary Suwondo, Adi Swardiana, I Wayan Pandu Swastikawati, Claudia Syafutra, Arif Dwi Syah, Firdiyan Syaiful Huda Syaiful Huda Syaiful Ramadhan Syamsu Hidayat Syamsul Syahab Mangun Tala, WD. Syarni Tamaulina Br Sembiring Tampubolon, Jandri Tamuntuan, Virginia Taufik Aldri Kristian Teguh Arlovin Teguh Sri Pamungkas Thedjo Sentoso Theofanis Orphanoudakis Thiro Kabul Y, Yudhis Tika Dedy Prastyo Tito Prabowo Toifur, Tubagus Tolla, Yefta Tommy Sarawan Tonny Hidayat TONNY HIDAYAT Tri Andi Tri Anggoro Tri Haryanti Tri Nugroho, Arief Tubagus Toifur Tukan, Ewaldus Ambrosius Turmuzi Tutik Maryana Tutut Dwi Prihatin Ula, M. Izul Umam Faqih Zubaedi Umdatur Rosyidah Utami Ema Uyock Anggoro Saputro Veny Cahya Hardita Vera Wati Victor Saputra Ginting Victor Saputra Ginting Vinnesa Patricia Carolina Wahyu Adie Saputro Wahyu Nugraha Wahyu Nur Alimyaningtias Wahyu Pujiharto, Eka Wahyu Sindu Prasetya Wahyu Wijaya Widiyanto Wahyudi, Alfian Cahyo Walidy Rahman Hakim Wangsa, Sabda Sastra Wartono Wartono wati, Vera Wati, Vera Wauran, Alfrets Septy Wicaksono, Kurniawan Widdi Djatmiko Widiyanto, Wahyu Wijaya Widya Mulyaningtyas Widyanto, Agung Wijaya, Jodi Winarnie Winarto, Hendri Wira Dimuksa Wiwi Widayani Wiwi Widayani, Wiwi Wiwit Supriyanti Wulandari, Sri Y. P., Ryan Dwi Yanuargi, Bayu Yeyen Dwi Atma Yoga Handoko Agustin Yohanes Setyo Prabowo, Yohanes Setyo Yopy Tri Buana Yossy Ariyanto Yovita Kinanti Kumarahadi Yuana, Kumara Ari Yudha Chirstianto F Yudha Randa Mad’hika Yuli Astuti Yuliana Yuliana, Yuliana Yuliani, Enie Yulita Fatma Andriani Yulius Nahak tetik Yuni Ambar S Yunita, Selviana Yusrinnatul Jinana triadin Yustian Servanda Yusuf Fadlila Rachman Yusuf Fadlila Rachman Yusuf Wahyu Setiya Putra Yuza, Adela Zaenul Amri Zakaria Zakaria Zenal Muttaqin Zeni Muhamad Noer Zuhri, Muhammad Rafli Zul Hisyam Zulkarnain, Imam Alfath Zulkarnain, Jefri Zulkipli Zulkipli Zulpan Hadi Zumarni, Zumarni