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All Journal Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Pendidikan Teknologi dan Kejuruan Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) PROCEEDING IC-ITECHS 2014 SMATIKA E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal CoreIT Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo Technomedia Journal KOMPUTIKA - Jurnal Sistem Komputer Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Tekno Kompak Building of Informatics, Technology and Science Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Teknik Informatika (JUTIF) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Bulletin of Computer Science Research Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer AKM: Aksi Kepada Masyarakat Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Edutic : Pendidikan dan Informatika Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Masyarakat Bangsa Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Journal of Information Technology, Software Engineering and Computer Science Management of Information System Journal JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Smatika Jurnal : STIKI Informatika Jurnal Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Heni Sulistiani
Universitas Teknokrat Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Sistem Pendukung Keputusan Dalam Memilih Bibit Kedelai Menggunakan Kombinasi Metode TOPSIS dan ROC Heni Sulistiani; Untoro Adji; Sufiatul Maryana; Setiawansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1339

Abstract

To increase agricultural yields, seed selection is very important, one of which is in soybean plants, the problem that arises is the absence of a decision support system model in determining good soybean seeds for soybean farmers. So, farmers only choose existing soybean seeds based on the recommendations of fellow soybean farmers. This study aims to conduct a combination of ROC and TOPSIS can help in managing the complexity of determining agricultural seeds more efficiently. This is because ROC helps in sequencing variables, whereas TOPSIS helps in choosing the optimal alternative. This combination allows stakeholders to make more informed and rational decisions. The ROC method is a multivariate analysis technique used to analyze data that involves sorting or ranking variables measured in a group or population. ROC can be an effective analytical tool in helping stakeholders optimize their strategies or policies in a variety of situations and industries that require a deep understanding of data sequencing or ranking. The Technique for Order Preference by Similarity to Ideal Solution method or often known as the TOPSIS method is a decision-making analysis approach used to assist stakeholders in evaluating alternatives based on a number of predetermined criteria. The combination of ROC and TOPSIS can provide a deeper understanding of the structure of relationships between variables and their impact on alternative rankings. Based on the results of the ranking of agricultural seeds that get 1st Rank, namely Grobongan with a value of 0.54047, 2nd Rank, namely Anjasmoro with a value of 0.5, 3rd Rank, namely Detap 1 with a value of 0.43828, 4th Rank, Dena 1 with a value of 0.43457, and 5th Rank, namely Dering 1 with a value of 0.40553.
Sistem Informasi Management Persediaan Barang Menggunakan Metode Moving Average Cost Method Elin Gusbriana; Heni Sulistiani
Journal of Information Technology, Software Engineering and Computer Science Vol. 1 No. 4 (2023): Volume 1 Number 4 October 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v1i4.76

Abstract

CV Dwi Putra is one of the chip shops that sells various types of chips with various flavors. However, in managing inventory, they still use manual methods that lead to inaccuracies in stock quantities between reality and records, as well as the lack of computerized systems to manage incoming and outgoing goods. Manual data processing also causes errors in recording final stock, delays in making reports, and makes CV Dwi Putra staff have to calculate and re-record the amount of stock of goods. In addition, the difficulty of determining the updated cost of goods sold is also a problem. The system is built using the Extreme Programming development method, as well as using use case diagram design models, activity diagrams, and class diagrams to illustrate inventory information system models. In its creation, this system uses PHP, HTML, JavaScript, JQuery, and MySQL programming languages, using the Codeigniter Framework. The inventory information system that has been developed has benefits in managing stock data better than the previous system. The system is able to manage incoming goods data (purchases) and outgoing goods data (sales), so as to reduce errors in recording final stock. In addition, the system also helps in making purchase and sales reports easier, faster, and on time. By using the Moving Average Cost method, the system also helps in determining the cost of goods sold when there is an increase or decrease in price.
Analisis Perbandingan Algoritma LSTM dan Naive Bayes untuk Analisis Sentimen Auliya Rahman Isnain; Heni Sulistiani; Bagus Miftaq Hurohman; Andi Nurkholis; Styawati Styawati
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 8, No 2 (2022): Volume 8 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v8i2.54704

Abstract

New Normal merupakan sebuah sebutan bagi kebijakan pemerintah untuk mengizinkan masyarakatnya melakukan aktifitas seperti biasa di tengah pandemi Covid-19 yang sedang melanda dengan tetap memperhatikan protokol kesehatan. Kebijakan ini menimbulkan berbagai tanggapan dari masyarakat terutama di media sosial twitter. Untuk itu, diperlukan proses analisis sentimen untuk melakukan pemrosesan terhadap teks yang didapat dari twitter. Analisis sentimen adalah bentuk representasi dari text mining dan text processing. Pada penelitian ini melakukan perbandingan kinerja metode Long Short Therm Memory dengan Naïve Bayes terhadap analisis sentimen Kebijakan New Normal. Hasil yang diperoleh dari penelitian ini yaitu metode  LSTM memiliki kinerja yang lebih baik bila dibandingkan dengan Naïve Bayes. Metode LSTM menghasilkan nilai akurasi, presisi dan recall sebesar 83.33%. Sedangkan metode Naïve Bayes memiliki nilai akurasi, presisi dan recall sebesar 82%.
Implementation of EDAS Method in the Selection of the Best Students with ROC Weighting Darwis, Dedi; Sulistiani, Heni; Megawaty, Dyah Ayu; Setiawansyah, Setiawansyah; Agustina, Intan
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 2 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i2.7904

Abstract

This study aims to provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The EDAS method requires a lot of input, and preference must be precise in the determination of the weight of the criteria. To fix the problem of weighting criteria in the EDAS method, the Centroid Rank Order (ROC) method is used. ROC is a simple method used to assign weight values to each criterion used. The results of this study provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The application of the EDAS method in the selection of exemplary student candidates resulted in exemplary prospective students obtained on behalf of Hadi Santoso with a final score of 0.70885 and obtained 1st rank. The results of these recommendations can help the school determine the selection of the best students by applying the EDAS method and ROC weighting.
The Decision Support System Uses the Preference Selection Index Method in Determining Healthy Cooperatives Sulistiani, Heni; Maryana, Sufiatul; Palupiningsih, Pritasari; Mehta, Abhishek
Bulletin of Informatics and Data Science Vol 2, No 2 (2023): November 2023
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v2i2.72

Abstract

Determining a healthy cooperative is a challenge that requires attention to several key aspects. Effective management, stable finances, active member involvement, and compliance with laws and regulations are key factors to be considered. By paying attention to all these factors and taking appropriate action, the cooperative can achieve optimal health levels and make a significant contribution to its members as well as the surrounding community. This study aims to determine healthy cooperatives using the Preference Selection Index (PSI) method in determining the best healthy cooperatives using the criteria of Capital, Quality of Productive Assets, Management, Efficiency, Liquidity, Independence, and Cooperative Identity so that the results of the best healthy cooperative ranking recommendations will be able to become recommendations for a decision. Based on the results of the calculation of the final value and ranking of the best healthy cooperatives using the PSI method, rank 1 is Koperasi-02 with a final value of 0.10737, rank 2 is Koperasi-01 with a final value of 0.10029, rank 3 is Koperasi-03 with a final value of 0.05223, rank 4 is Koperasi-04 with a final value of 0.0107. The results of testing using blackbox testing that has been carried out obtained the results of the number of answers from respondents have a value of 100% in accordance with testing the functionality of the system using blackbox testing
Pengenalan dan Pelatihan Game Edukasi Menggunakan Quickappninja untuk Siswa SMK PGRI Kedondong Darwis, Dedi; Rahmanto, Yuri; Sulistiani, Heni; Yasin, Ikbal; Saputra, Very Hendra; Khoirunnisa, Yosi; Sari, Priskila Lovika; Ismail, Izudin
Journal of Engineering and Information Technology for Community Service Vol 2, No 3 (2024): Volume 2, Issue 3, January 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i3.409

Abstract

Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk memberikan pengenalan dan pelatihan membuat game edukasi kepada siswa SMK PGRI Kedondong jurusan multimedia. Ketrampilan menggunakan teknologi merupakan salah satu luaran wajib bagi siswa SMK jurusan multimedia, untuk dapat menguasai teknologi dalam membuat game tidak cukup hanya di dapat dari pelajaran di dalam kelas, oleh karena itu perlu diberikan kegiatan penunjang lain seperti pelatihan untuk menambah pengetahuan dan pengalaman siswa dalam membuat game edukasi. Kegiatan PKM ini memberikan pelatihan langsung kepada siswa jurusan multimedia dalam membuat game edukasi. Pembuatan game edukasi menggunakan quickappninja.com. Berdasarkan hasil kuisioner yang diberikan kepada siswa dan hasil kerja siswa dapat disimpulkan bahwa pelatihan dapat meningkatan kemampuan siswa dalam membuat game edukasi, hal tersebut terlihat dari hasil kuisioner tentang pemahaman siswa terkait game edukasi dan hasil kerja siswa yang awalnya tidak mampu membuat game edukasi menjadi siswa yang mampu membuat game edukasi.
Pelatihan Membuat Aplikasi Keuangan dengan Appsheet untuk Siswa SMK PGRI Kedondong Darwis, Dedi; Rahmanto, Yuri; Sulistiani, Heni; Yasin, Ikbal; Saputra, Very Hendra; Ismail, Izzudin; Sari, Priskila Lovika; Khoirunnisa, Yosi
Journal of Engineering and Information Technology for Community Service Vol 2, No 3 (2024): Volume 2, Issue 3, January 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i3.415

Abstract

Sekolah Menegah Kejuruan (SMK) merupakan jenjang Pendidikan yang bertujuan untuk mempersiapkan lulusan yang siap kerja, oleh karena itu kurikulum pada jenjang SMK lebih kepada praktik. Selain itu pelatihan ketrampilan merupakan hal yang penting di jenjang kejuruan agar lebih terampil dalam mengaplikasikan teori yang di dapat di sekolah. Tujuan dari kegiatan pengabdian kepada masyarakat dalam bentuk sekolah binaan ini yaitu memberikan pengenalan dan pelatihan menggunakan appsheet dalam membuat aplikasi keuangan, dengan harapan akan menambah pengalaman dan pengetahuan, serta keterampilan siswa SMK dalam menunjang kompetensi pencatatan transaksi keuangan yang dimiliki siswa dan kedepannya jika siswa telah masuk pada dunia kerja
Performance evaluation of feature selections on some ML approaches for diagnosing the narcissistic personality disorder Sulistiani, Heni; Syarif, Admi; Muludi, Kurnia; Warsito, Warsito
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.6717

Abstract

Narcissistic personality disorder (NPD) is a personality disorder that affects various aspects of life, including relationships, employment, school, and finances. Persons with NPD usually feel unhappy and disappointed when no one helps them and is not praised for their achievements. Diagnosing narcissism is generally done using a screening test that consumes time and costs a lot. This research aims to evaluate the performance of several feature selection (FS) approaches on machine learning (ML) techniques (support vector machine (SVM), random forest classifier (RFC), and Naive Bayes). Three scenarios of FS (all features, the information gain technique and the gain ratio (GR) feature technique) are used for each ML method. Several experiments using the benchmark narcissistic disorder dataset have been done. It adopts the k-fold cross-validation (10-fold cross-validation) strategy. We evaluate the method’s performance by measuring its accuracy, error rate, and processing time. It is shown that the RFC GR strategy gives the best performance with an accuracy of 100%.
Implementation of the Laravel Framework in the Development of Sales and Repair Information Systems at Vespa Clinic Kotabumi Gaib Wiwaha, Gigant; Sulistiani, Heni
Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Vol 9, No 2 (2024): April
Publisher : UNDIKMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jtp.v9i2.11121

Abstract

The existence of realtime, fast and accurate information is very important for human survival. Website-based information systems provide accessibility for consumers to access information without time limitations and interactivity provided by producers to consumers by offering various interactive features as a form of online consultation. The purpose of this research is to implement a website for sales and repairs using the Laravel Framework at Vespa Clinic Kotabumi (Vecko) and to facilitate management and bookkeeping that is fully recorded on the Web. The method used is Waterfall development with the application of blackbox testing methods and Mean Opinion Score. Researchers made the Vespa Clinic Kotabumi Workshop as the object of research. Data collection techniques in this study are interviews and observations. In this case, the creation of information systems is expected to increase income with faster and more efficient business processes and expand the reach of information. The results of the research are a form of implementation of the Laravel Framework in the sales and repair system at the Kotabumi vespa workshop equipped with attractive features for admin and customers consisting of reservation, product page, and confirmation. In this research, the Laravel Framework has succeeded in maximizing the development of the sales website. The sales system becomes more efficient and greatly helps transactions between sellers and buyers. The use of Laravel framework on this system has helped and facilitated the development of the system in this study
Combination of Weighted Product Method and Entropy Weighting in the Best Warehouse Employee Recommendation Waqas Arshad, Muhammad; Darwis, Dedi; Sulistiani, Heni; Suryono, Ryan Randy; Rahmanto, Yuri; Megawaty, Dyah Ayu; Setiawansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2095

Abstract

The best warehouse employees are individuals who show exceptional dedication and precision in carrying out their duties. Not only do they ensure that every process, from receipt to delivery, is carried out with high accuracy, but they are also proactive in finding ways to improve operational efficiency. The main problem lies in the proper assessment of employees' technical skills and soft skills, such as rigor, time management ability, and teamwork. Additionally, the selection process can be complicated when it comes to balancing previous work experience and adaptability to new technologies. Without effective assessment methods, the risk of selecting the wrong employee can negatively impact the overall productivity and operational efficiency of the warehouse. The purpose of the study, which combines entropy weighting method with the WP method is an approach that can increase objectivity and accuracy in multi-criteria decision-making. In this combination, the Entropy method is used first to objectively determine the weight of the criteria based on the degree of variation or information contained in the data of each criterion. The weights generated by the Entropy method reflect the importance of criteria based on how much information is provided, assuming that criteria with more variety have more information. Once the weights are determined, the Weighted Product method is used to evaluate and rank alternatives. Based on the results of the recommendation for the selection of the best warehouse employee Hadi occupies the top position in the selection of the best warehouse employee with a score of 0.07194. His position was followed by Putri who got a score of 0.07082, showing a performance that was also very good and only slightly below Hadi. Budi is ranked third with a score of 0.06621, while Deni is ranked fourth and Kiki is fifth with a score of 0.06544 and 0.06524, respectively. The score obtained by each employee shows a relatively small difference, reflecting the fierce competition and high quality of performance among the employees
Co-Authors Ade Dwi Putra Ade Dwi Putra Adelia Pratiwi Admi Syarif Ady Chandra Agung Pria Laksono Agung Saputra Agus Irawan Agus Irawan Agustina, Intan Ahmad Ari Aldino Ahmad Fawaiq Suwanan Ahmad Januar Amriyansah Aidil Akbar Akbar, Muhammad Fadil Alfarizi, Ferdian Alfikri, Valbian Alita, Debby Alvi Suhartanto Alvi Suhartanto Alvi Suhartanto Alvinan Virgilia Andi Nurkholis Andika, Rio Andre, Muhammad Fabio Ani Sesanti Antoni, Kevin Rizki Anwar, Adi Khairul Anwar, Rian Aprian Nuriansah Ari Sulistiyawati Arief Aryudi Syidik Arif Munandar Arshad, Muhammad Waqas Arsi Hajizah Auliya R. Isnain Bagastian, Bagastian Bagus Miftaq Hurohman Bambang Dwi Setyarto Benhouzer N.P Pasaribu Budi Santosa Budi Santosa Chanafy, Muhammad Cici Dian Paramita Damayanti Damayanti Damayanti Damayanti Damayanti, Damayanti Darwanto, Imam Dedi Darwis Dedi Darwis Dewantoro, Fajar Dimas, Novario Donaya Pasha Donaya Pasha Eka Lisna Rahmadani Eko Bagus Fahrizqi Eko Putro, Dimas Elin Gusbriana Elvano Delisa Mega Erliyan Redy Susanto Esy Ervina Yanti Evi Dwi Wahyuni Fahreza Aditya Aryatama Falssava, Jossa Neka Fatmawati Isnaini Fatriana, Nina Ferico Octaviansyah Pasaribu, Ahmad Fikri Hamidy Gaib Wiwaha, Gigant Geri Marizki Greessheilla Phylosta P.B Gunawan, Rakhmat Dedi Hamdan Sobirin, Muhammad Hati, Clifansi Remi Siwi hendri eka pratama Hendrik Saputra Heru Setiawan I Gede Heri Susanto Ikbal Yasin Ikbal Yasin Ilham Muhammad Ghoffar Imam Ahmad Imam Ahmad Inonu, Onassis Yusuf Ismail, Izudin Ismail, Izzudin Isnain, Auliya Rahman Istiana, Winda Iwan Purwanto Izka, Ade Adyatna Izudin Ismail Juarsa, Doris Junaidi Junaidi Khairun Nisa Khoirunnisa, Yosi Koswara, Wawan Kurnia Muludi M. Sholahuddin Al-Ayyubi Magda, Kardita Maheswari, Diva Afirlia Masnia Rahayu Maulida Waya Inayah Mauludi, Ilham Moenir Megawaty, Dyah Ayu Mehta, Abhishek Meutia Kartika Arisandi Miswanto Miswanto Muhammad Fahmi Fudholi Muhammad Hamdan Sobirin Muhammad Syahril Muhaqiqin muhaqiqin naufal, wandi Neneng Neneng Nirwana Hendrastuty Nitami Evita Inonu Nosa, Sania Media Nova Evrilia Nunyai, Reiza Fahlevi Oktami, Yuga Palupiningsih, Pritasari Parjito Parjito Pasha, Donaya PENDI, PENDI Pinangkis, Alif Danang Prananta, Gery Prasetio, Mugi Prastowo, Kukuh Adi Pratama, Farhan Rizki Pratama, Miko Septa Priandika, Adhie Thyo Priskilia Lovika Prita Dellia Putra Hermana, BP Putri, Nanda Aulia Qadhli Jafar Adrian Qadli Jafar Adrian R Metha, Abhishek Rahayu, Masnia Rahmadany, Loisha Adellia Ramadhan, Surya Reflan Nuari Rendy Ramadhan Retno Triana Reza Kumala Dewi Rido Febriansyah Rika Mersita Rika Mersita Riska Amalia Rohaniah Rohaniah Rojat, Muhamad Randyka Ryan Randy Suryono S. Samsugi Sandi, Yeris Ari Sangha, Zahra Kharisma Sania Media Nosa Sanjaya, Ival Sari, Priskila Lovika Sebastian, Dicky Fernanda Setiawan, Randi Setiawansyah Setiawansyah Setyani, Tria Shynta Octriana Siska Amelia, Siska Siska Febriani Sitna Hajar Hadad Styawati Styawati Suaidah Suaidah Sufiatul Maryana Sufiatul Maryana Sugianto, Rudi Susanti Susanti Syakuru, Nazwa Tauhid, Naufal Tazul Tazul Antoni Umami, Nila Niswatun Untoro Adji Very Hendra Saputra Very Hendra Saputra Waqas Arshad, Muhammad Warsito Warsito Wawan Koeswara Wayan Kresna Yogi Swara yasin, ikbal Yasinta Ismi Yasinta Ismi HS Yeris Ari Sandi Yosi Khoirunnisa Yulia Indriani Yuliani, Asri Yunita Yunita Yunita Yunita Yuri Rahmanto Yusra Fernando Zaenal Abidin Zahra Kharisma Sangha Zofaisal Hamid, Pratama