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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Prosiding SNATIF JUITA : Jurnal Informatika Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Paradigma JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri Jurnal Teknik Informatika STMIK Antar Bangsa IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL TEKNOLOGI DAN OPEN SOURCE J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Journal of Innovation and Future Technology (IFTECH) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Infortech Teknika Jurnal Sistem Informasi IJISTECH Akasia: Artikel Ilmiah Sistem Informasi Akuntansi JUSTIAN - Jurnal Sistem Informasi Akuntansi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mandiri IT Teknologika Jurnal Pengabdian Pada Masyarakat Journal of Accounting Information System Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Adi Supriyatna
Universitas Bina Sarana Informatika
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SISTEM ANALISIS DATA MAHASISWA MENGGUNAKAN APLIKASI ONLINE ANALYTICAL PROCESSING (OLAP) DATA WAREHOUSE Supriyatna, Adi
Jurnal Pilar Nusa Mandiri Vol 12 No 1 (2016): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1310.093 KB) | DOI: 10.33480/pilar.v12i1.260

Abstract

Along with the developments of the times and technology then the education level of community has been an increase in , this is proven by the increasing interest on the part of high school graduates who want to continue the level of education to college. The development of a collegecan be seen at the rising numbers of students from year to year. At this point in time leaders the top of college difficulty receive information related to the number of student who in conformity with the wish because they still relying on parts that perform data processing student , as a result have to wait to get the information relating to data student. In addition, dataset students such abounding actually has information or knowledge can get or analyze, so as to from a collection of the data can be obtained a pattern or knowledge that can be used by a college to better understand the condition there are. Based on the knowledge obtained from data analysis students , leaders universities can make strategic plan better to embodied in the work program forward. This research was intended to produce a system that can be used by the leader of universities to an analysis of data students to design application olap data the warehouse. The method or approach that is used in the design this system is the approach top down. The result of this research is the establishment of application OLAP data warehouse to enable to the college in do the digging information on and analysis of students data so that it can be speed up the decision-making process, and can provide independence in choosing a form of report desired.
ANALISIS DAN EVALUASI KEPUASAN PENGGUNA SISTEM INFORMASI PERPUSTAKAAN DENGAN MENGGUNAKAN PIECES FRAMEWORK Supriyatna, Adi
Jurnal Pilar Nusa Mandiri Vol 11 No 1 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1406.104 KB)

Abstract

The use of information systems requires setting up and management of a specific nature, so that the system is commonly referred to as management information systems. In which there are a variety of activities ranging from system planning, maintenance, until measurements of performance. In carrying out the necessary information system software and hardware as well as the human operator. Above components should be interconnected so that library activities can run smoothly. To determine whether the components of the information system running properly, should require the evaluation process. The purpose of this study was to evaluate whether the system during run and analyze the strengths and weaknesses of the library information system that has been used for in using the PIECES Framework, as well as to determine whether there is any effect on the level of profitability for the use of the system so that the company can do a follow-up to business prospects to face the global challenges. The method used is the method of analysis PIECES Framework, which consists of point analysis: Performance, Informations and Data, Economics, Control and Security, Efficiency, and Service where the point - the point is a reference evaluation and analysis of an information system. The results of this study indicate that the library information system that is being used already has some advantages and strengths that can support the operations of the library, but there are also some disadvantages and shortcomings so that the library information system still needs to be improved.
Optimasi Proses Pembelian Bahan Baku Melalui Sistem Informasi Berbasis Web Adi Supriyatna; Carolina, Irmawati; Widiati, Wina
Jurnal Sistem Informasi Akuntansi Vol 4 No 2 (2023): Periode September 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v4i2.2068

Abstract

The availability of raw materials is one of the important components in the production process. The availability of raw materials is also key in the production process at coffee shops/coffee shops. The process of recording raw material stocks in several coffee shops is still conventional. Meanwhile, in the process of ordering raw materials using social media such as Whatsapp. But there is no system between ordering raw materials and recording stock that is mutually integrated or computerized. This resulting in many discrepancies between data and items that do not match. Therefore, an information system is needed that can be used in the process of purchasing raw materials for making coffee. This study aims to design and implement a raw material purchasing information system in Coffee Shops that can assist Coffee Shop entrepreneurs in managing and monitoring raw material purchases in a structured and efficient manner. The research method used is the data collection method and the system development method Rapid Application Development (RAD). The result of this research is the creation of a web-based raw material purchasing information system that can minimize errors in the data processing process, make coffee shop performance more effective and efficient, and the raw material purchasing process becomes more accurate.
PEMILIHAN DOSEN TELADAN BERPRESTASI DENGAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) Pujiastuti, Lise; Amin, Ruhul; Hariyanto, Hariyanto; Supriyatna, Adi; Christian, Ade; Sumanto, Sumanto
Journal of Innovation And Future Technology (IFTECH) Vol 6 No 2 (2024): Vol 6 No 2 (August 2024): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v6i2.3398

Abstract

This study aims to evaluate the performance of lecturers in higher education using the Multi Attribute Utility Theory (MAUT) method. The main problem faced is the complexity of assessing lecturers based on the Tri Dharma of Higher Education-education, research, and community service-as well as the challenges of subjectivity and inefficiency in manual assessment. MAUT was chosen due to its ability to consider various assessment criteria in a structured and objective manner and follows the standardization of outstanding lecturer assessment including: Education, Research, Community Service, Discipline, Commitment, Cooperation Ability and Ability to innovate. The results showed that Adi Fajar Insani had the best performance with a total final score of 1.01, while Dian Eka Fitriani had the lowest score of 0.00. The MAUT method proved effective in providing a comprehensive and fair assessment, overcoming the limitations of traditional methods that are not thorough. The conclusion of this study is that the application of MAUT can improve the objectivity, efficiency, and accuracy of the lecturer evaluation process, thus encouraging the improvement of lecturer quality and productivity in various fields. Further research is recommended to develop more relevant assessment criteria, involve larger samples, and explore the use of more sophisticated technology to support the assessment process.
ANALISIS PENJUALAN PRODUK UMKM DI SHOPEE PADA TOKO AGUNG0NA9 MENGGUNAKAN MODEL ALGORITMA REGRESI LINEAR Supriyatna, Adi; Irma Purnamasari, Ade; Ali, Irfan
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 2 (2024): JATI Vol. 8 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i2.8372

Abstract

Shopee merupakan platform e-commerce yang beroperasi secara online dan hadir di berbagai negara di Asia Tenggara, Shopee telah berkembang pesat dalam beberapa tahun terakhir memungkinkan konsumen membeli produk secara online, Toko umkm Agung0na9 Menjual produk kategori musik dan juga kerajinan. Tujuan dari penelitian ini adalah menerapkan algoritma regresi linier untuk memprediksi produk dengan Kategori musik dan kerajinan yang akan terjual dalam waktu 3 bulan berikutnya. Regresi linear digunakan sebagai metode prediksi dengan jumlah produk yang terjual sebagai variabel Y dan periode sebagai variabel X. relative Error digunakan untuk mengevaluasi hasil prediksi. Hasil prediksi kategori Musik pada bulan pertama terjual 68 pcs, pada bulan kedua 69 pcs dan bulan ketiga 70 pcs dan kategori Kerajinan pada bulan pertama terjual 1078 pcs, pada bulan kedua 1029 pcs dan bulan ketiga 1066 pcs. Hasil evaluasi nilai Nilai Relative Error pada kategori Musik 13.64%, sedangkan, Nilai Relative Error kategori Kerajinan 22.65%. Prediksi penjualan handphone menggunakan metode regresi linear ini dapat dikatakan tergolong dalam kategori cukup atau bisa digunakan.
Analisis Bibliometrik Shannon Entropy: Tren Penelitian dan Relevansi Multidimensional Supriyatna, Adi
Jurnal Infortech Vol 6, No 2 (2024): Desember 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v6i2.24445

Abstract

Dengan meningkatnya adopsi Shannon Entropy di berbagai bidang, penting untuk melakukan analisis komprehensif mengenai perkembangan penelitiannya, termasuk tren utama, kolaborasi antarpeneliti, dan arah inovasi di masa depan. Penelitian ini bertujuan untuk menelaah perkembangan riset tentang Shannon Entropy dan Information Theory melalui pendekatan bibliometrik. Shannon Entropy adalah konsep dasar dalam Information Theory yang diterapkan secara luas dalam bidang kecerdasan buatan, statistik, dan ilmu informasi. Seiring bertambahnya publikasi terkait topik ini, diperlukan analisis mendalam untuk memahami tren penelitian, kolaborasi antar peneliti, dan sumber referensi yang berpengaruh. Penelitian ini menggunakan analisis bibliometrik terhadap publikasi dari basis data ilmiah internasional, meliputi jumlah publikasi per tahun, kolaborasi internasional, topik penelitian dominan, dan sumber jurnal utama. Hasil penelitian menunjukkan bahwa publikasi tentang Shannon Entropy mencapai puncaknya pada tahun 2020, dengan kontribusi signifikan dari Amerika Serikat, Pakistan, dan China. Topik utama meliputi Information Theory dan Shannon Entropy, dengan minat yang meningkat pada kecerdasan buatan dan statistik. Jurnal Entropy serta publikasi IEEE seperti IEEE International Symposium on Information Theory dan IEEE Transactions on Information Theory terbukti sebagai referensi paling relevan. Kesimpulannya, studi ini memberikan wawasan komprehensif tentang perkembangan, kolaborasi, dan signifikansi sumber penelitian terkait Shannon Entropy, yang berperan penting dalam Information Theory dan berdampak luas pada berbagai disiplin terkait.
Penerapan Algoritma C.45 Untuk Menentukan Tingkat Kepuasan Pelanggan Kartu Telkomsel Prabayar Sikumbang, Erma Delima; Ariani, Fattya; Handayani, Tiwi; Ramanda, Kresna; Sukmana, Sulaeman Hadi; Supriyatna, Adi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.492

Abstract

Telkomsel is an operator mobile phone company that provides services for mobile phone users. The mobile phone Operator creates a small SIM card for the customer by means of having to be inserted into each phone to get access to the service. One of the most used mobile operators and belongs to the largest category in Indonesia is Telkomsel. In This study implemented algorithm method C. 45 in deciding customer satisfaction against the use of prepaid Telkomsel cards. This type of research is to implement data mining concept by involving as many as 100 user data of prepaid Telkomsel card through the dissemination of questionnaires. There is an attribute in each variable that affects customer satisfaction including: price, promotion, product quality and service quality. Based on manual calculation results and with the help of the RapidMiner studio 9.7 software is known to be the root is a variable quality service with the highest gain value of 0.266396957 and results classification accuracy value of 0.9655 so that belongs to the classification category is very good
Clustering Koridor Transjakarta Berdasarkan Jumlah Penumpang Dengan Algoritma K-Means Supriyatna, Adi; Carolina, Irmawati; Janti, Suhar; Haidir, Ali
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.259

Abstract

Transportation is one of the facilities that make it easy for humans to carry out activities to move places using vehicles that are driven by humans or machines. Based on data obtained from data.jakarta.go.id, the number of Transjakarta bus passengers in corridors 1 to 13 of 2017 amounted to 114,239,960, and in 2018 there were 121,918,964 passengers. The algorithm used in this research is K-Means Cluster, which is implemented using Microsoft Excel and Rapidminer Studio. The purpose of this study is to cluster Transjakarta corridors based on the number of passengers divided into 3 clusters: high, medium, and low. The results of data processing show that the Transjakarta corridor data cluster is based on the number of passengers using the K-Means cluster algorithm using Microsoft Excel and Rapidminer Studio to produce 3 clusters, namely cluster 1 with the highest number of passengers, one corridor, cluster 2 with the number of passengers being nine corridors and cluster 3 or 0 with a low number of passengers there are three corridors. The highest number of passengers is corridor one which serves the Blok M - Kota route, indicating that the Blok M - Kota route is the most used by Transjakarta passengers.
Komparasi Algoritma Naive bayes dan SVM Untuk Memprediksi Keberhasilan Imunoterapi Pada Penyakit Kutil Supriyatna, Adi; Mustika, Wida Prima
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.13 KB) | DOI: 10.30645/j-sakti.v2i2.78

Abstract

Warts is a skin health problem that is generally characterized by the appearance of small, rough-textured lumps on the skin surface caused by a virus that is human papilloma virus (HPV). One technique of treatment of wart disease is immunotherapy, this method is a treatment by boosting the immune system to overcome the disease of warts. Naive bayes and Support Vector Machine (SVM) is a method of data mining algorithm used to classify. The aim of this study was to compare the Naive bayes algorithm with Support Vector Machine (SVM) in predicting the success of immunotherapy treatment method in the treatment of wart disease. Tests conducted using the method of Naive bayes and Support Vector Machine (SVM) using the R programming language, then the results are used to do the comparison. The results of this study revealed that the Naive bayes method has superior prediction capability compared to Support Vector Machine (SVM) because Naive bayes can predict all class instances correctly with the accuracy level of 1.
Penerapan Algoritma C.45 Untuk Menentukan Tingkat Kepuasan Pelanggan Kartu Telkomsel Prabayar Sikumbang, Erma Delima; Ariani, Fattya; Handayani, Tiwi; Ramanda, Kresna; Sukmana, Sulaeman Hadi; Supriyatna, Adi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.492

Abstract

Telkomsel is an operator mobile phone company that provides services for mobile phone users. The mobile phone Operator creates a small SIM card for the customer by means of having to be inserted into each phone to get access to the service. One of the most used mobile operators and belongs to the largest category in Indonesia is Telkomsel. In This study implemented algorithm method C. 45 in deciding customer satisfaction against the use of prepaid Telkomsel cards. This type of research is to implement data mining concept by involving as many as 100 user data of prepaid Telkomsel card through the dissemination of questionnaires. There is an attribute in each variable that affects customer satisfaction including: price, promotion, product quality and service quality. Based on manual calculation results and with the help of the RapidMiner studio 9.7 software is known to be the root is a variable quality service with the highest gain value of 0.266396957 and results classification accuracy value of 0.9655 so that belongs to the classification category is very good
Co-Authors Ade Christian Ade Christian, Ade Adjat Sudradjat ahmad yani Ali Haidir Aminudin, Aam Anna Anna Baginda Oloan Lubis Cindya Windari Dede Firmansyah Saefudin Dewi Laraswati Diah Puspitasari Endang Wahyudi Erma Delima Sikumbang Fani Talia Fatmasari Fatmasari Fattya Ariani Fitra Hariman Hakim Hadi Sukmana, Sulaeman Handayani, Tiwi Hariyanto HARIYANTO HARIYANTO Henny Destiana Herlawati Herlawati Indarti Indarti, Wahyu Indra Chaidir, Indra Indra Riyana Rahadjeng Intan Sarwono Putri Irfan Ali, Irfan Irma Purnamasari, Ade Irmawati Carolina Ishak Komarudin Karlena Indriani Kresna Ramanda Lisnawanty Lita Sari Marita Lydia Salvina Helling Mari Rahmawati Maria, Vivi Mas Aji Sapto Nugroho Mochamad Wahyudi Prasetyo, Romadhan Edy Pujiastuti, Lise Rachman Komarudin Riska Utami Dewi Rizal Amegia Saputra Rosliana, Siti Ruhul Amin, Ruhul Saridawati Saridawati, Saridawati Siti Rosliana Sri Wasiyanti, Sri Suhar Janti Sumanto, Sumanto Suminten, Suminten Teni Agustina Ummu Radiyah, Ummu Wida Prima Mustika Wina Widiati Windi Irmayani