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All Journal Seminar Nasional Informatika (SEMNASIF) Jurnal Informatika Upgris JRSI (Jurnal Rekayasa Sistem dan Industri) JURNAL MEDIA INFORMATIKA BUDIDARMA Informatics for Educators and Professional : Journal of Informatics Jurnal Komputer Terapan Jurnal TAM (Technology Acceptance Model) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jiko (Jurnal Informatika dan komputer) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Sarwahita : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Komputer dan Sistem Informasi @is The Best [Accounting Information System & Information Technology Business Enterprise] Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Santika : Jurnal Ilmiah Sains dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Cakrawala Repositori Imwi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra International Journal Engineering and Applied Technology (IJEAT) JURNAL ILMIAH INFOKOM Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Rekayasa Teknologi Nusa Putra Jurnal TAM (Technology Acceptance Model)
Dudih Gustian
Nusa Putra University
Humanities Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Sistem Penunjang Keputusan Penerapan Metode Topsis Pada Peningkatan Kinerja Karyawan Alfaudzan, Adriansyah Muhamad; Gustian, Dudih
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.461

Abstract

In determining the success of the company's work is influenced by human resource management (HR), one of the strategies in improving the quality of human resources work is to appreciate employee performance. The method used in determining this promotion is the topsis method, it is hoped that the assessment will be more precise because it is based on predetermined criteria and weights so that it will get more accurate results. For this reason, researchers try to help the problems mentioned above by developing a decision support system using the application of the TOPSIS method for this system. In this study we will know which employee performance is more accurate according to the company's determination, the results are in accordance with this study there are 5 candidates, 3 candidates who have high scores were selected, namely the first rank in the highest employee performance, the 1st is p1 with a preference value of 0.568796348, the second p2 with a preference value of 0.568579031, and the third rank p3 with the same preference value as p2.
Analisis Sentiment Masyarakat terhadap Kasus Covid-19 pada Media Sosial Youtube dengan Metode Naive bayes Ahmadi, Muhammad Iqbal; Gustian, Dudih; Sembiring, Falentino
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1114.196 KB) | DOI: 10.30645/j-sakti.v5i2.378

Abstract

The development of Covid-19 cases in Indonesia continues to increase. with the continued increase in these cases causing panic among the public regarding the presence or absence of this corona virus, in the midst of this condition an effective and efficient communication pattern is needed in providing education and information about this corona virus, for example with social media Youtube. Many people's responses to this news are expressed in the comments column. Therefore, a sentiment analysis model is needed to classify public comments into Positive, Negative and neutral. In this study, the Naive bayes method is used to build a sentiment analysis model for public responses about the news on the development of the Covid-19 case on the Youtube page, precisely on the KompasTV Chanel. Accuracy is 74% with the number of comments Positive 361, Negative 800 and neutral 490.
Analisis Pemilihan Supplier dengan Pendekatan Analytical Hierarchy Process di PT. ABC Agraeni, Rosalia; Gustian, Dudih
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.450

Abstract

Suppliers are one of the most important parts of a company. For maximum production results, the company also needs suppliers with the best quality. Therefore, companies need a decision support system that can assist in accurate supplier selection based on specified criteria. This supplier selection process uses the Analytic Hierarchy Process (AHP) approach, which is usually a method of ranking decision alternatives and selecting the best option from a number of criteria. The criteria for selecting this supplier are quality, delivery, service and suitability of goods
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Web dengan Metode Simple Additive Weighting Sholihat, Anisa; Gustian, Dudih
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.v6i2.498

Abstract

In educational institutions, in determining the order in which students who excel are generally selected only based on their final grades, the same is true in the Dwi Warna Vocational School. The ranking of students who excel at SMK Dwi Warna Sukabumi is only determined based on the value of the final report which ranks 1 to 5 only. In the process of selecting outstanding students there is an opportunity to make decisions that are not on target because the selection process for outstanding students is only based on one aspect of assessment, namely the value in the student's final report, meanwhile additional values such as attitude and achievement values that have been obtained are not from within. The school is not used as an assessment material and is also not used as a criterion in determining the order of students who excel. From this description, it is possible that the selected outstanding student does not meet the desired standard. Therefore, it takes a decision support system in the form of a website to make it easier and faster for the selection of outstanding students, with several methods that can be used and the Simple Addive Weighting (SAW) method by giving weighting to each of the criteria used. The system created is by using the PHP programming language. The system created is expected to be able to speed up the decision-making process in determining outstanding students
Sistem Pendukung Keputusan Pemilihan Calon Penerima Program Indonesia Pintar Dengan Metode Fuzzy TOPSIS Ainaya, Regina; Gustian, Dudih
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.v6i2.499

Abstract

Smart Indonesia Program Assistance is educational assistance provided by the government to elementary, middle and high school students aged 6-12 years. The Smart Indonesia Program is an improvement from the previous government program, namely Assistance for Poor Students. This assistance is one of the existing aids at the MI Salakopi school, but the school is still having difficulties in determining the students who are entitled to the Smart Indonesia Program (PIP). This problem is due to the same criteria and the selection is still manually by the school operator. In addition, in previous studies, there were several similar rankings, of course reducing the level of objectivity and accuracy of research based on the results of direct observations of prospective beneficiaries. The combination of the Fuzzy Topsis method is expected to provide a solution, especially in reducing the same ranking data so that the accuracy of objectivity is better. The Fuzzy Topsis method can reduce the results of the same ranking to 46%. The final result of the calculation using Fuzzy TOPSIS which was tested on 15 alternatives with the highest value of A12 of 0.658
Analisis Sentimen Dampak Covid-19 Terhadap Pembatalan Keberangkatan Ibadah Haji Pada Tahun 2020 Kartika, Mila; Saepudin, Sudin; Gustian, Dudih
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.392

Abstract

The government through the Ministry of Religious Affairs canceled the departure of pilgrims from Indonesia in 2020. The decision was taken, considering the Covid-19 pandemic still plagues almost all parts of the world, including Indonesia and Saudi Arabia. "Saudi Arabia has never opened access for pilgrims from any country. As a result, the government could no longer have enough time to make its main preparations in the service and protection of Jemaah. Based on this fact, the government decided not to send pilgrims in 2020. Judging from the charts and data recorded from April to December 2020 there was a sharp increase. There were 743,198 confirmed cases of infection, 109,963 cases treated, 22,138 cases died and 611,091 were declared cured. This is a consideration of the government in taking the decision to lower the letter of cancellation of hajj departure in 2020. To retrieve this sentiment data the author took the data methodology from Twitter by using the data retrieval step using orange anaconda tools with the amount of data obtained as many as 670 tweets that have 3 variables that are positive by 37%, negative 12% and neutral 51%. To analyze sentiment data from Twitter the author used 3 classification methods and produced an accuracy value of KnN of 0.507, Random forest of 0.531 and Naïve bayes of 0.532. Based on the results of the analysis conducted by the author that the response or comments of the public to the delay / cancellation of the hajj departure was reaped a neutral response and support the government's move. Of the 3 methods used, the most superior method is the Naïve bayes method because it uses probability and statistics.
Sistem Penunjang Keputusan Penerapan Metode Topsis Pada Peningkatan Kinerja Karyawan Alfaudzan, Adriansyah Muhamad; Gustian, Dudih
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.461

Abstract

In determining the success of the company's work is influenced by human resource management (HR), one of the strategies in improving the quality of human resources work is to appreciate employee performance. The method used in determining this promotion is the topsis method, it is hoped that the assessment will be more precise because it is based on predetermined criteria and weights so that it will get more accurate results. For this reason, researchers try to help the problems mentioned above by developing a decision support system using the application of the TOPSIS method for this system. In this study we will know which employee performance is more accurate according to the company's determination, the results are in accordance with this study there are 5 candidates, 3 candidates who have high scores were selected, namely the first rank in the highest employee performance, the 1st is p1 with a preference value of 0.568796348, the second p2 with a preference value of 0.568579031, and the third rank p3 with the same preference value as p2.
SISTEM KEPUTUSAN PENILAIAN KINERJA KARYAWAN DENGAN MENGGUNAKAN METODE ANALITICAL HIERRACY PROCESS Dudih Gustian; Ade Bahrum; Sudin Saepudin
Jurnal TAM (Technology Acceptance Model) Vol 9, No 2 (2018): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v9i2.673

Abstract

Penilaian kinerja adalah proses di mana organisasi mengevaluasi pelaksanaan pekerjaan individu.  Selain itu penilaian kinerja dapat dibuat untuk memberikan informasi tentang promosi dan penentuan gaji suatu karyawan.  Penelitian ini dilakukan di Puskesmas Kesehatan Kadudampit sebagai salah satu fungsi pelayanan kesehatan.  Terdapat masalah kualitas kerja karyawan dilapangan yaitu tidak stabilnya kinerja karyawan tiap bulan disebabkan karena kurangnya pengawasan yang tidak maksimal sehingga dapat berdampak pada pelayanan kepada masyarakat. dalam menerima pelayanan pada puskesmas.  Penelitian ini menggunakan metode Analytical Hierarchy Process  yang  menghasilkan suatu keputusan yang lebih objektif dengan pemberian nilai pada setiap kriteria kriteria yang telah ditentukan  dan mendapatkan hasil dari penilaian dengan nilai sikap 2.3446, kedisiplinan 0/860, kehadiran 0.820 dan 0.549.  Sistem yang dibuat berbasis website diuji dengan metode Software Quality Assurance dengan menggunakan 5 orang user secara acak mendapatkan nilai rata – rata 81.   Artinya bahwa hasil pengujian ini dapat diterima oleh pihak pengguna dalam melakukan proses penilaian kinerja karyawan. 
Analisis Kinerja Algoritma Prediksi Saham pada PT GoTo Gojek Tokopedia Tbk (GOTO) Siti Mulia Agustina; Dudih Gustian
Jurnal Rekayasa Teknologi Nusa Putra Vol 11 No 1 (2025): Februari 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/rekayasa.v11i1.402

Abstract

The growth of stock investment in Indonesia is not merely a domestic phenomenon but also has global implications. Indonesia's capital market, with active participation from domestic players and foreign investors, significantly contributes to economic performance. This research aims to identify the best method for predicting the stock prices of PT GoTo Gojek Tokopedia Tbk (GOTO) through a comparison of K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Linear Regression. The study utilizes Google Colab as an evaluation platform with stock price data covering market variations. Three methods are evaluated based on Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) values. Performance evaluation reveals that Linear Regression exhibits near-zero MSE (9.82e-27), RMSE of 9.91e-14, and MAE of 8.71e-14, indicating exceptionally high prediction accuracy compared to KNN and SVM. Based on the evaluation results, Linear Regression stands out as the optimal choice for predicting GOTO stock prices. This finding provides guidance for investors and analysts in making investment decisions.
Sistem Pendukung Keputusan untuk Kebutuhan Persediaan Paket Data dan Pulsa Menggunakan Metode Simple Additive Weighting Muhammad Fachreza Faturrahman; Muhammad Alman Firdaus; Muhamad Rivqi Nurridwan; Muhamad Zidane Mustofa; Dudih Gustian
Jurnal Rekayasa Teknologi Nusa Putra Vol 11 No 2 (2025): Agustus 2025
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/rekayasa.v11i2.642

Abstract

Penelitian ini bertujuan untuk mendukung pelaku usaha mikro dalam menetapkan prioritas stok produk pulsa dan paket data dengan menggunakan metode Simple Additive Weighting (SAW). Studi dilaksanakan di Reza Cell, sebuah bisnis yang menawarkan beragam produk digital untuk kebutuhan sehari-hari masyarakat. Dalam manajemen stok, konter ini menghadapi tantangan akibat ketidaksamaan antara permintaan pasar dan keberadaan produk. Informasi yang terkumpul mencakup penjualan, laba bersih, persediaan, dan pilihan konsumen. Analisis yang dilakukan dengan metode SAW menunjukkan bahwa produk Indosat 2.5GB/5 hari memperoleh skor tertinggi, diikuti oleh Axis 6GB/5 hari dan Indosat 3.5GB/5 hari. Hasil ini menunjukkan bahwa metode SAW dapat memberikan rekomendasi yang terukur dan objektif dalam proses pengambilan keputusan persediaan, serta membantu pelaku bisnis untuk meningkatkan efisiensi penjualan dan mencegah kerugian akibat surplus atau defisit stok.
Co-Authors A. Oktian Permana Aan Setiawan Aan Setiawati Aang Hasanudin Acep Saepulrohman Ade Bahrum Adhitia Erfina Aditya Nurfitri Agraeni, Rosalia Agum Taufikurrahman Ahmadi, Muhammad Iqbal Ainaya, Regina Alamsyah, Zaenal Alfaudzan, Adriansyah Muhamad Alia Ahadi Argasah Alun Sujada Ammar Ammar Anak Agung Gede Sugianthara Anang Suryana Anggy Pradiftha Junfithrana Anita Rahayu Annisa Desi Pratiwi Anti Aprianti Arti Hariyanti Ati Sulastri Atika Fauzia Akbari Azkia Aura Shanda Cecep Warman Debby Rahmawati Debby Rahmawaty Dede Irwan Dede Sukmawan Dede Wahidin Dewa Saepurrahman Dewi Destinasari Dharma Saputra Dhea Lestari Dicki Nugraha Dzikril, Tubagus Edwinanto Ekky Noor Mahmudi Elsa Ramadanti Elsa Yulia Rahman Eneng Mia Rizkianti Enti Sulastri falentino sembiring Faridatun Ni’mah Faturrohman Al-Ghozi Fatwa Adib Soetedjo Fauzi Yuni Hastuti Fauziah Nur Octafiani Fuji Apriani Goni, Muhammad Wildan Harry Atmami Heri Firmansyah Imam Faisal Arridzwani Indra Supriadi Indra Yustiana Indriyani Indriyani Ismi Nurhadianti Rusmana Jannah, Gina Raodotul Jelita Asian Jihad Hari Jordan Chan William Kartika, Mila Kirishchieva Irina Rafaelevna Kudin Rustaman LESTARI, BUNGA Lucas Crammer M Dezan Sya’ban S M. Syukron Nawawi M. Yosef Ismatulloh Marina Marina Artiyasa Marina Artiyasa Maryam Nurhasanah Mega Lumbia Sinaga Megasari Putri Meisa Sindriama Rinelda Mia Kurniasari Mochamad Khilmi Mohamad Najib Muahamad Taufik Muhamad Amar Muhamad Renaldi Aripin Muhamad Rivqi Nurridwan Muhamad Salman Al-Farits Muhamad Zaenal Abidin Muhamad Zidane Mustofa Muhamd Ammar Muhammad Alman Firdaus Muhammad Ammar Muhammad Arip Muhammad Arsyad Muhammad Fachreza Faturrahman Muhammad Iqbal Ahmadi Muhammad Natsir Muhammad Wildan Goni Muslih, Muhamad Neng Mira Indri Anggraeni Neng Resti Noviansyah Nunik Destria Arianti Nur Apriyanti Nur Apriyanti Nur Fauza Muhidin Nuraeni Nursyi’ah, Sitiyana Pahmi, Samsul Paikun Panji Narputro Rahayu Awaliyah Rian Nugraha Rico Sihotang Rifaldi Zulkarnaen Rimalya Widian Rinrin Rinrin Rintho Rante_Rerung Rival Maulana Rosita, Moneyta Dholah RR. Ella Evrita Hestiandari Rudi Heryanto Saepudin, Sudin Salsa Lisna Audina Sarah Sifa Antadipura Sastradipraja, C K Satish Kumar Damodar Seko Lesmana Selsa Khairunisa Fadiya haya Sholihat, Anisa Sihabudin Sihabudin Sihabudin Siti Handayani Siti Hasna Fadhilah Siti Khalifah Siti Mulia Agustina Siti Olis Somantri Somantri Sri Rejeki, Nada Suratno, Erip Taufik Bahrul Alam Wildan Riswandi Wulan Alinda Wahyumi Yayatillah Rubiati Yoga Vikriansyah Yudi Nata Yudi Nata Yunita Gusti Nurani Yusuf Iskandar Zaid Sulaiman