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All Journal International Journal of Evaluation and Research in Education (IJERE) Bulletin of Electrical Engineering and Informatics Jurnal technoscientia Jurnal Script Jurnal Jarkom Telematika : Jurnal Informatika dan Teknologi Informasi SMARTICS Journal Jurnal TAM (Technology Acceptance Model) Jusikom : Jurnal Sistem Komputer Musirawas Dharma Bakti IJISCS (International Journal Of Information System and Computer Science) Jurnal Teknologi Komputer dan Sistem Informasi Jurnal ICT : Information Communication & Technology JISKa (Jurnal Informatika Sunan Kalijaga) International Journal of Applied Sciences and Smart Technologies Infotech: Journal of Technology Information JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal PkM: Pemberdayaan Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) NEAR: Jurnal Pengabdian kepada Masyarakat Journal of Applied Business and Technology International Journal of Multidisciplinary Approach Research and Science Jurnal Riset Multidisiplin dan Inovasi Teknologi Jurnal Pengabdian Kepada Masyarakat Radisi Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Uning Lestari
Department Of Informatics, Universitas AKPRIND Indonesia, Yogyakarta,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Aplikasi Kontrol Lampu Rumah Berbasis Smartphone Android untuk Mendukung Smarthome Erfanti Fatkhiyah; Muntaha Nega; Uning Lestari
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 11 No 1 Agustus 2018
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v11i1.120

Abstract

Along with the rapid development of technology that runs dynamically, then this has a lot to give a significant effect on the field of property. Utilization of electrical energy is currently less effective because many household electronic appliances that use electrical energy and its use is very excessive. Excessive use of electrical energy will cause electrical energy to be scarce. Technological developments such as smart phones that have many innovations to overcome the problem of use or electricity savings. Electrical switches can be replaced by using a relay and controlled via a microcontroller connected to a pre-programmed smart phone. With the existence of Ethernet shield equipment that can communicate with the microcontroller through serial communication with the command communication on / off switch via a smart phone with wireless connection to the Ethernet shield equipment is a solution to overcome the switch electrical switch, android-based smart phone that has been programmed lamp control can turn off or turn on home lights with distance to the range of available wifi connections.
SISTEM PENDUKUNG KEPUTUSAN KLASIFIKASI KELUARGA MISKIN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) SEBAGAI ACUAN PENERIMA BANTUAN DANA PEMERINTAH (STUDI KASUS: PEMERINTAH DESA TAMANMARTANI, SLEMAN) Uning Lestari; Muhammad Targiono
Jurnal TAM (Technology Acceptance Model) Vol 8, No 1 (2017): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (821.511 KB)

Abstract

Various types of government programs in poverty alleviation efforts have been widely implemented, but the assistance that reached the hands of the people has not been in accordance with what is expected. One reason is that the determination of the status of poor families as beneficiaries has not been optimal, so that in providing poverty assistance has not been well targeted. Application Development Decision Support System Determination of Poor Family is made by the method used in determining the decision is the method of Simple Additive Weighting (SAW). The results of the assessment conducted by the system are given poverty status such as Very Poor, Poor, Vulnerable Poor and Not Poor. SAW method is chosen because it can determine the weight value for each attribute, then proceed with the ranking process that will select the best alternative from a number of alternatives, in this case the alternatives referred to are families categorized as poor families based on the criteria specified. With the ranking process, the assessment will be more precise because it is based on predetermined criteria and weights, so it will get more accurate results for anyone who is categorized as poor. These results can then form the basis for the TPK (Poverty Reduction Team) team of Tamanmartani villages to determine which families are entitled to receive government funding so that the distribution of aid is targeted.
SENTIMENT ANALYSIS OF PERFORMANCE EFFECTIVENESS OF MALIOBORO PEDESTRIAN USING SENTISTRENGTH METHOD ON TWITTER Uning Lestari; Debby Anugrahni
Jurnal TAM (Technology Acceptance Model) Vol 12, No 1 (2021): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v12i1.1044

Abstract

Sentiment analysis is a study to analyze public opinions, sentiments, evaluations, attitudes, and emotions towards services, products, public issues, organizations, general topics, etc. Sentiment analysis is a computational research of various opinions and emotionsexpressed textually and opinions in the form of text can be obtained through social media such as Twitter. The Malioboro area as one of the famous tourist destinations in Yogyakarta has pedestrian facilities for visitors. In the area, there are many pedestrian facilities including pedestrian paths, sidewalks, zebra crossings and parking. This study aims to measure the effectiveness of the use of the pedestrian area in Malioboro based on opinions on Twitter. This study uses the Sentistrength method. The results shows that from 3,572 Tweet data from 2016 to 2020, the results of Positive sentiment are 55.81%, the results of Neutral sentiment are 36.18% and the results of negative sentiment are 8.01%.
BIMBINGAN TEKNIS PENGEMBANGAN WEB DI SMKN 2 MAGELANG GUNA MENDUKUNG MEDIA INFORMASI KEGIATAN SEKOLAH Uning Lestari; Joko Triyono; Erfanti Fatkhiyah
Jurnal PkM Pemberdayaan Masyarakat Vol 1 No 4 (2020): Jurnal PkM Pemberdayaan Masyarakat
Publisher : LP3K Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnalpkm.v1i4.12

Abstract

Currently the use of website technology has become a necessity and has been applied in many fields such as economy, public services, education, socio-politics, health, lifestyle, health, government, trade and so on. The website is used for business purposes, information delivery, transaction processing and data processing. As important as the use of websites is, in the education sector, a website is also needed as a means of supporting the teaching and learning process, promotion and information media to users. SMK N 2 Magelang in an effort to improve web creation and management skills for teachers and administrative staff, has organized web development training and technical guidance. This activity is in collaboration with the Department of Informatics, IST AKPRIND Yogyakarta as a resource for training activities on website development with the CMS Website (Content Management System). This activity got satisfactory results because the teachers managed to create a website / blog to support improving the quality of student learning. Administrative staff also gain knowledge of good web management and successfully create additional features and content that are added to the school website. With these results, it is expected to increase the credibility of SMKN 2 Magelang
Pengembangan Sistem Pakar Menggunakan Metode Papi Kostick Untuk Tes Kepribadian Sugiyatno Sugiyatno; Parasian D.P Silitonga; Uning Lestari
Jurnal ICT : Information Communication & Technology Vol 20, No 2 (2021): JICT-IKMI, Desember 2021
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.414

Abstract

This paper is a report on the results of developing an expert system using the Papi Kostick method which is used to test the personality of employees in a company. Papi Kostick method to evaluate individual behavior and work style in relation to work situations. The researcher's system development process uses the Software Development Life Cycle (SDLC) method. This expert system is implemented web-based. The tests used are validation testing and expert system accuracy testing. The test results are 100% which shows that the functionality of the system can run well according to the list of requirements. The results of the accuracy test show that the expert system using the Papi Kostick method can function properly. The results of the assessment, the company can see the progress and ability of its employees in doing certain jobs well and the suitability of employees with the workplace through personality tests. Assessment of employee behavior and work style is also useful for companies in providing feedback to employees and can be used as a basis for companies to conduct training, transfer, rotation and promotion of employees.
PURWARUPA SISTEM PENDETEKSI KEBAKARAN DALAM RUANGAN MENGGUNAKAN MIKROKONTROLER ARDUINO BERBASIS SMS GATEWAY Uning Lestari; Amir Hamzah; Wafikulinuha Wafikulinuha
Jusikom : Jurnal Sistem Komputer Musirawas Vol 6 No 2 (2021): Jusikom : Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v6i2.1491

Abstract

Alat pendeteksi kebakaran merupakan salah satu pendukung strategis dalam upaya mendeteksi adanya kebakaran dalam ruangan, jika salah satu rumah mengalami kebakaran maka api akan mudah menyebar ke rumah lainnya. Untuk menghindari hal itu dibutuhkan alat pendeteksi api dan asap agar dapat meminimalisir dampak kerugian yang diterima pemilik rumah. Pada penelitian ini, dibuat purwarupa sistem pendeteksi kebakaran menggunakan mikrokontroler arduino berbasis SMS gateway yang dapat melakukan pendeteksian jika akan terjadi kebakaran dan mengirimkan SMS notifikasi peringatan saat terdeteksi api atau asap. Sistem ini menggunakan sensor MQ-2 untuk mendeteksi gas dan asap, flame sensor KY-026 untuk mendeteksi api, buzzer bunyi sebagai alarm peringatan dalam ruangan serta SIM800L untuk mengirimkan SMS notifikasi kepada nomor tujuan. Seluruh komponen tersebut dikontrol menggunakan mikrokontroler arduino. Purwarupa sistem pendeteksi kebakaran berbasis SMS Gateway ini diharapkan dapat menjadi salah satu alternatif sistem keamanan rumah.
PENERAPAN APLIKASI SISTEM PAKAR UNTUK DIAGNOSA MASALAH PADA PERANGKAT KOMPUTER MENGGUNAKAN METODE BACKWARD CHAINING BERBASIS WEB Firmansyah Surwa Adi L; Erna Kumalasari Nurnawati; Uning Lestari
Jurnal SCRIPT Vol. 9 No. 2 (2021): Vol 9 No. 2 Desember 2021
Publisher : Jurusan Informatika INSTITUT SAINS & TEKNOLOGI AKPRIND YOGYAKARTA

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Abstract

Banyaknya pengguna komputer yang bermasalah dengan penanganan kerusakan komputer, dirasakan perlu dibuat suatu software atau sistem yang dapat membantu memecahkan permasalahan komputer. Software yang dimaksud adalah suatu software sistem pakar yang berfungsi sebagai pengganti organisasi atau seorang yang ahli dalam bidang penanganan kerusakan komputer. Kerusakan komputer terdiri dari dua bagian penting yaitu Perangkat Keras (Hardware) dan Perangkat Lunak (Software), bagian pertama adalah hardware komputer berupa alat yang dapat dilihat dan dipegang seperti: monitor, keyboard, mouse, CPU (Central Processing Unit) dan semua perangkat didalamnya. Pada penelitian ini adalah salah satu metode dari Bacward Chaining, yaitu menggunakan pendekatan goal driven, yang dimulai dari harapan apa yang akan terjadi atau hipotesis dan kemudian mencari bukti yang mendukung atau berlawanan dengan harapan. Backward Chaining ini memerlukan perumusan dan pengujian hipotesis sementara. Metode Backward Chaining ini digunakan jika suatu aplikasi menghasilkan tree yang sempit dan dalam. Metode penelitian yang dipakai adalah metode prototype. Perancangan sistem pakar ini menggunakan metode UML. Sistem ini dibangun menggunakan bahasa pemrograman berbasis web yaitu PHP dan MySQL sebagai database. Hasil dari penelitian ini adalah adanya sistem pakar diagnosa kerusakan komputer yang dapat mempermudah pengguna awam menangani masalah komputer khususnya di bagian perangkat keras komputer (Hardware) dengan aplikasi berbasis web dan mempermudah pengguna awam dalam menangani masalah perihal hardware komputer.
IDENTIFIKASI CITRA DAGING AYAM BERFORMALIN MENGGUNAKAN METODE GREY LEVEL CO-OCCURRENCE MATRIX (GLCM) DAN K-NEAREST NEIGHBOR (KNN) Luay Nabila El Suffa; Uning Lestari; Erma Susanti
Jurnal SCRIPT Vol. 9 No. 2 (2021): Vol 9 No. 2 Desember 2021
Publisher : Jurusan Informatika INSTITUT SAINS & TEKNOLOGI AKPRIND YOGYAKARTA

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Abstract

Produksi daging ayam meningkat, hal ini menyebabkan persediaan berlebih pada pedagang. Akibatnya bila tidak dilakukan pengawetan maka pedagang akan merugi. Salah satu cara pengawetan adalah menggunakan formalin. Formalin digunakan untuk mengawetkan mayat akan tetapi apabila dicampurkan dengan daging ayam maka daging ayam tersebut akan menjadi lebih awet dari pembusukan, lebih berat dan warna lebih bagus. Kondisi ini sangat merugikan kalangan konsumen yang membeli daging ayam. Identifikasi daging dapat dilakukan secara manual dengan kasat mata maupun dengan menekan dagingnya untuk mengetahui tekstur daging. Cara ini memiliki banyak kelemahan bila para konsumen tidak jeli untuk mengidentifikasi daging ayam berformalin. Teknologi pengolahan citra digital memungkinkan untuk mengidentifikasi daging ayam berformalin secara otomatis dengan bantuan aplikasi pengolahan citra. Penelitian ini bertujuan untuk mengidentifikasi citra daging ayam segar broiler dan kampung dengan menggunakan metode K-Nearest Neighbor (KNN) sebagai classifier dan metode Grey Level Co-occurrence (GLCM) sebagai ekstraksi ciri. KNN adalah metode klasifikasi berdasarkan data yang jaraknya paling dekat dengan objek tersebut, sedangkan GLCM merupakan matriks yang mempresentasikan hubungan ketetanggaan antarpiksel dalam citra pada berbagai arah orientasi ɵ dan jarak spasial d. Pengujian menggunakan dataset 60 dan hasil pengujian didapatkan akurasi sebesar 85%.
SENTIMENT ANALYSIS FOR EXTRACTING STUDENT OPINION DATA ON HIGHER EDUCATION SERVICES USING THE NAIVE BAYES CLASSIFIER AND SUPPORT VECTOR MACHINE METHODS (CASE STUDY AKPRIND INSTITUTE OF SCIENCE AND TECHNOLOGY YOGYAKARTA) Uning Lestari; Tri Romadhani; Suraya Suraya; Erfanti Fatkhiyah
Jurnal TAM (Technology Acceptance Model) Vol 13, No 1 (2022): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v13i1.1220

Abstract

Opinions are ideas, opinions, or the results of someone's subjective thoughts in explaining or addressing something. IST AKPRIND Yogyakarta provides comment and suggestion box facilities in the learning evaluation questionnaire. Opinions that have been collected can be used to determine the sentiment of the campus community. This sentiment information can be used in future campus development. The development of a system that can analyze sentiment automatically is designed by comparing the Naive Bayes Classifier (NBC) method and the support vector machine (SVM) optimized by selecting the Information Gain (IG) feature. Prior opinion data needs to be prepared before being analyzed. Preprocessing (text preprocessing) used includes: cleanning, text folding, normalization, stemming, stopword removal, convert negation, and tokenization. The results of this study show that the SVM method produces higher accuracy than NBC. The accuracy test shows the highest accuracy of SVM reaches 99.09% while NBC is 96.56%. The application of IG did not significantly affect the accuracy of the analysis. GI greatly influenced the analysis duration of the SVM method, which could shorten the time by 195.71%.
Analisis Sentimen Kampus Merdeka Menggunakan Machine Learning Parasian DP Silitonga; Irene Sri Morina; Mitra Hasibuan; Uning Lestari
Jurnal ICT : Information Communication & Technology Vol 21, No 1 (2022): JICT-IKMI, Juli 2022
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v21i1.480

Abstract

Analisis sentimen merupakan interpretasi dan klasifikasi emosi (positif, negatif, netral) pengguna tentang suatu subjek dalam data teks dengan menggunakan analisis teks. Dengan bantuan analisis sentimen, informasi yang tidak terstruktur yang dapat diubah menjadi data yang lebih terstruktur yang kemudian dapat digunakan menjelaskan opini masyarakat mengenai produk, merek, layanan, politik, atau topik lainnya. Terdapat beberapa metode yang dapat digunakan untuk melakukan analisis sentimen, salah satunya adalah machine learning. Machine learning digunakan sebagai tools untuk menghasilkan robot yang mampu mengklasifikasikan jenis sentimen dalam data tekstual. Merdeka Belajar Kampus Merdeka (MBKM), merupakan kebijakan Menteri Pendidikan dan Kebudayaan, yang bertujuan mendorong mahasiswa untuk menguasai berbagai keilmuan yang berguna untuk memasuki dunia kerja. Kampus Merdeka memberikan kesempatan bagi mahasiswa untuk memilih mata kuliah yang akan mereka ambil. Penelitian ini dilakukan untuk menghasilkan model machine learning dengan menggunakan metode Support Vector Machine (SVM) yang dapat digunakan untuk mengukur tingkat popularitas program kampus merdeka yang telah diluncurkan oleh Kementrian Pendidikan, Kebudayaan, Riset dan Teknologi Informasi Republik Indonesia berdasarkan data komentar atau opini masyarakat di media sosial.Berdasarkan penelitan yang dilakukan, ditemukan bahwa jumlah true positive rate adalah 270 record dikategorikan sebagai label positif dan false positive rate adalah 0 record dikategorikan sebagai label negatif. Kemudian jumlah true negative rate adalah 11 record dikategorikan sebagai label negatif dan false negative rate adalah 67 record dikategorikan sebagai label positif. Hasil pengujian data ditemukan bahwa tingkat akurasi algoritma SVM adalah sebesar 80,75%.
Co-Authors -, Marwoto -, Marwoto Abdullah, Asniyani Nur Haidar Abdulloh, Yusuf Agusalim Syamsudin Pure Ahmad Fesol, Siti Feirusz Ahmad Zarkasi Akhir, Muhammad Al Qallab, Kholoud Alomoush, Ashraf Amannu, Ramadhan Amir Hamzah Amir Hamzah Amir Hamzah Andri Harsono Andri Harsono, Andri Andung Febi Prakoso Anggraeni, Ari Puspratini Annafi’ Franz Aprilianti, Yunis Aprilianti Ardiansyah - Arga, Dwi Asih Sapta Arifuddin, Arham Ariyana, Renna Yanwastika Asti Widyaningsih Aziz Nurwahidin Bondan Prawiro Yudo, Bondan Prawiro Cardoso, Noel Adriano Catur Iswahyudi Choo, Yun-Huoy Dani Heriyanto Dani Yulkarnain Debby Anugrahni Deby Saputra, Deby Dede Hernowo Deserius Marianus Oenunu Dina Andayati Dina Andayati Dini Pujiatin Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Effendy, Vina Ardelia Eko Budianto Erfanti Fatkhiyah Erfanty Fatkhiyah Erma Susanti Erna Kumalasari Erna Kumalasari Nurnawati Erna Kumalasari Nurnawati Erna Kumalasari Nurnawati Erni Astuti Firmansyah Surwa Adi L Galuh Ayu Novilia Hari Wibowo Hendrati, Rr. Dina Oktavia Indra Kurniawan Irene Sri Morina Ismail, Nurmaisarah iswanto Iswayudi, Catur Jepri Ardianto Joko Triyono Juliyanti, Nur Arifah Kar Mee, Cheong Laksono Trisnantoro Lip, Rashidah Listyaningrum, Desti Arghina Luay Nabila El Suffa M. Abdul Alim Alami Mitra Hasibuan Mohamad, Siti Nurul Mahfuzah Mohd Yusoff, Azizul Muchamad Rizal Rinaldi MUHAMMAD SHOLEH Muhammad Targiono Muntaha Nega Murien Nugraheni Musa, Mohd Hafizan Naniek Widyastuti Naniek Widyastuti Norasikin, Mohd Adili Nurmansyah Oktavina Marlina Roma Paays, Franco Albertino Karel Parasian D.P Silitonga Poh Ee, Tan Prastika, Dika Priska Prihsmoro1, Catur Dwi Prita Haryani Pujiatin, Dini Rendi Saputra Rr Yuliana Rachmawati K RR. Yuliana Rachmawati Salam, Sazilah Saldanha, Paulino Sazilah Salam Sholeh, Muhammad Silitonga, Parasian DP Siti Saudah Sony Cahyo Wibisono Sony Cahyo Wibisono, Sony Cahyo Sugiyatno Sugiyatno Supriyanri, Sri Suraya Suraya Suraya Suraya Suwanto Raharjo Tri Romadhani Triyono, Joko Utami Hayati Victor Motumona Wafikulinuha Wafikulinuha Waliadi, Julfikar Wandy Damarullah Widodo Widodo Wiwik Handayani Yeremias Budi Liman Hege Yeremias Budi Liman Hege, Yeremias Budi Liman Yun Huoy Choo Yunanto, Prasetyo Wibowo Yunis Aprilianti Yusron - Zulfikar .L, Fauzul Rachman