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All Journal Jurnal Buana Informatika JURNAL ELEKTRO E-Dimas: Jurnal Pengabdian kepada Masyarakat J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Building of Informatics, Technology and Science Jurnal Mantik Journal of Information Systems and Informatics Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Reswara: Jurnal Pengabdian Kepada Masyarakat Yumary: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat Charitas JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Stephen Aprius Sutresno, Stephen Aprius
Universitas Katolik Indonesia Atma Jaya
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Modification of random forest method to predict student graduation data Christine Dewi; Gerald Edgard Laukon; Stephen Aprius Sutresno; Henoch Juli Christanto
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4528

Abstract

The graduation rate of students is an important measure of a school’s success, as it indicates the school’s ability to help students complete their education. Predicting student completion is crucial for schools to identify at-risk students and offer them early interventions to improve their academic performance. This can also assist policymakers in developing effective policies and programs to enhance graduation rates and reduce dropout rates. The dataset used in this study was obtained from the Kaggle website, and the best model proposed utilizes the Random Forest method with hyperparameter tuning. By adjusting the n_estimator parameter to 1000, our proposed method decreases the mean squared error (MSE) value from 0.5525155 to 0.5374983 and increases the R2 Score value from 0.9984039 to 0.9984873. The study also compares the performance of the proposed model with other datasets sourced from the University of California Irvine (UCI), demonstrating superior performance across all experiments. The results consistently show a decreasing trend in MSE value and an increasing trend in R2 value for all datasets
Edukasi Pengenalan Dasar Web Design di SMAK 7 Penabur Jakarta Eugenius Kau Suni; Stephen Aprius Sutresno; Henoch Juli Christanto; Gilberto Dennis G E Sidabutar
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2024)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v5i2.4333

Abstract

Sebagian besar lembaga pendidikan telah melakukan upaya nyata untuk memajukan kecerdasan bangsa dengan menerapkan penggunaan teknologi khususnya komputer dalam kegiatan belajar mengajar. Salah satu sekolah ternama yaitu SMAK 7 Penabur Jakarta telah menerapkan teknologi dalam proses pengajarannya sesuai dengan visi dan misi sekolah. Pada tanggal 9 dan 10 November 2023 sekolah tersebut menggelar kegiatan Workshop IT Camp yang dimana salah satu dosen dari prodi Sistem Informasi Universitas Katolik Indonesia Atma Jaya (Unika Atma Jaya) ikut berpartisipasi sebagai narasumber. Melihat latarbelakang para peserta kegiatan yang tidak rata tentang pengetahuan komputer khususnya kemampuan dalam pembuatan program yang masih cukup rendah, maka narasumber memilih materi pengenalan dasar web design, karena materi ini bersifat fundamental dan tidak terlalu terkait dengan kode program. Kegiatan ini dilakukan dengan tujuan memberikan pengetahuan baru terkait pembuatan web sederhana dengan memperhatikan unsur-unsur dari web design dan dapat melatih meningkatkan imajinasi dan kreativitas dalam membuat tampilan aplikasi web yang baik bagi peserta didik di SMAK 7 Penabur Jakarta. Seluruh rangkaian kegiatan ini dilakukan dengan tahapan persiapan, pelaksanaan, dan evaluasi. Narasumber berhasil melaksanakan kegiatan edukasi pengenalan dasar web design di SMAK 7 Penabur Jakarta yang dihadiri oleh 21 peserta siswa-siswi SMA dari kelas X, XI, dan XII dengan baik dan tanpa kendala yang serius. Hasil evaluasi kegiatan menunjukkan nilai post-test mengalami peningkatan sebesar 26,7% dibanding nilai pre-test, sehingga dapat ditarik kesimpulan bahwa peserta masih dapat memahami materi yang diberikan oleh narasumber
Pengembangan Aplikasi Sistem Informasi Gereja Isa Almasih Jemaat Purwodadi pada Platform Android Christanto, Henoch Juli; Widiarto, Sandra Oktaviani B; Sutresno, Stephen Aprius; Linestyo, Dominikus Vieri Tegar
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1371

Abstract

Gereja merupakan komunitas beriman kepada Yesus Kristus yang melakukan berbagai kegiatan keagamaan. Dalam mengelola kegiatan yang padat tersebut, pusat administrasi gereja sering menghadapi risiko kesalahan manusia. Menghadapi tantangan digitalisasi, muncul ide untuk menciptakan sebuah aplikasi sistem informasi yang dapat mengatasi permasalahan tersebut, yaitu aplikasi pusat informasi gereja. Tujuan dari aplikasi ini adalah membantu kelancaran kegiatan gereja dan mempermudah proses administrasi dalam setiap kegiatan yang dilakukan. Hasil menunjukkan bahwa aplikasi pusat informasi gereja yang dikembangkan dapat diakses oleh seluruh anggota gereja melalui platform Android. Fitur-fitur yang ada dalam aplikasi membantu mempermudah proses penerimaan informasi gereja dan administrasi. Tampilan aplikasi juga diterima dengan baik oleh para jemaat. Skor rata-rata dari pengukuran tingkat daya guna sistem menggunakan metode SUS adalah 72, yang dapat dikategorikan sebagai grade scale C dengan adjective ratings good
Analisis Preferensi Mahasiswa di Salatiga Dalam Menentukan Jenis Kendaraan Online Gojek Menggunakan Metode Naïve Bayes Christanto, Henoch Juli; Hiuredhy, Davin Kurnia; Dagha, Willyam Chrisna Umbu; Sutresno, Stephen Aprius; Dewi, Christine
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 3 (2024): JULY-SEPTEMBER 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i3.2200

Abstract

The development of technology in online transportation services like Gojek has a significant impact on meeting the mobility needs of modern society. The city of Salatiga, with many students from outside the island, has a considerable number of individuals without their own vehicles who prefer to use Gojek services. Therefore, research was conducted to analyze the preferences of students in Salatiga in determining the type of Gojek online transportation using the Naïve Bayes method. One hundred questionnaires from Salatiga students were collected, and the results yielded probability values for Gojek service preferences based on a combination of variables such as weather, load, destination, and time. It is evident from the probability values that weather and time variables play a crucial role in influencing users' decisions between using Go-Ride or switching to Go-Car. These results can provide guidance for Gojek in designing service innovations that are more responsive to user needs based on various specific factors.
Optimizing Logistics: Developing An Efficient Tracking and Delivery System for Automotive Spare Parts Hiuredhy, Davin Kurnia; Christanto, Henoch Juli; Dewi, Christine; Sutresno, Stephen Aprius
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 4 (2024): OCTOBER-DECEMBER 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i4.2380

Abstract

In the automotive spare parts industry, efficient supply chain management is the backbone of operational success. Amidst this complex ecosystem, companies face challenges in delivering fast, reliable, and competitive services, accommodating a constantly evolving consumer base with discerning preferences and rising expectations. This article aims to identify challenges in developing tracking and delivery scheduling applications for the automotive spare parts industry and improve system performance by introducing effective solutions. The research adopts a system development approach using the Waterfall method to produce a responsive and user-friendly web application, followed by functional testing using Black Box and evaluation using the System Usability Scale (SUS). Development of the tracking and delivery scheduling application using the Waterfall method resulted in a reliable and responsive application, with all system functionalities running smoothly. SUS testing indicated that the application has a good level of usability, with an average score of 77.5 out of 100. This study successfully provides relevant and efficient technological solutions to overcome operational barriers in the automotive spare parts industry, with the potential to enhance customer satisfaction and solidify the company's position as a pioneer in the automotive aftermarket sector. However, further improvements in application usability can be achieved through future iterations guided by user feedback and additional usability testing.
Prediksi Ekspor Migas Indonesia Dengan Double Exponential Smoothing Juli Christanto, Henoch; Aprius Sutresno, Stephen; Mavish, Steven; Afrianto Singgalen, Yerik; Dewi, Christine
Jurnal Elektro Vol 15 No 1 (2022): Vol.15 No.1 April 2022: Jurnal Elektro
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v15i1.5123

Abstract

In Indonesia, there are several forms of exports, one of which is oil and gas exports. The Double Exponential Smoothing method is a forecasting method that can be used to forecast oil and gas export data. This method uses two smoothing parameters, namely the average smoothing parameter alpha (α), the trend smoothing parameter beta (β). In this study, the population used is data on oil and gas exports in Indonesia. And the sample used is Indonesia's oil and gas export data from January 2020 to October 2021, we get 22 data sourced from the Central Statistics Agency (BPS). The Double Exponential Smoothing method is used because the data to be processed has a trend, both an up and a down trend and gas exports in Indonesia have an up and down pattern. The Double Exponential Smoothing method can also predict the prediction of oil and gas exports in Indonesia in the next months, November 2021 to February 2022. To process the data, the researcher used the Holt Double Exponential Smoothing method .
Strategi Persaingan Pemasaran Indomaret dan Alfamart di Salatiga Menggunakan Game Theory Juli Christanto, Henoch; Aprius Sutresno, Stephen; Mavish, Steven; Afrianto Singgalen, Yerik; Dewi, Christine
Jurnal Elektro Vol 16 No 1 (2023): Vol.16 No.1 April 2023: Jurnal Elektro
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v16i1.5126

Abstract

Indomaret and Alfamart are minimarket businesses that are currently experiencing significant growth, especially in the city of Salatiga. Each company strives to achieve maximum profit, and thus, it is essential to determine the most optimal competitive strategy to attract customers. This research was conducted using a questionnaire to understand what influences consumers in choosing a minimarket for shopping, providing valuable insights for determining minimarket strategies. Game Theory is employed to represent the respondents. The results of the study indicate that Alfamart will employ a location-based strategy in their stores, while Indomaret will utilize discount and promotion strategies for their easily accessible minimarkets.
Pengenalan Konsep Dasar Animasi 2D dan 3D kepada Anak SMA/SMK di Wilayah Provinsi Banten Suni, Eugenius Kau; Sutresno, Stephen Aprius; Sihombing, Denny Jean Cross; Christanto, Henoch Juli; Bata, Julius Victor Manuel; Airlangga, Gregorius; Setiawan, Yohanes Evan
Jurnal Pengabdian Masyarakat Charitas Vol. 3 No. 02 (2023): Jurnal Pengabdian Masyarakat Charitas Desember 2023
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/charitas.v3i02.4998

Abstract

IGiven the rapid development of technology, education in the field of technology becomes crucial for everyone. One of the roles of technology education in fostering someone's creativity can be achieved through learning about things that require creativity, such as animation in the digital world. The Information Systems Program at Atma Jaya Catholic University of Indonesia organized a community service activity in the form of a workshop on November 25, 2023, covering the introduction to the basic concepts of 2D and 3D animation. The workshop was facilitated by Edwar Juanda, S.Ds., M.Ikom, as the speaker, and was attended by 90 participants from high schools and vocational schools in various areas around the Banten province. The workshop proceeded smoothly, and the participants appeared very enthusiastic and active throughout the event. Particularly during the workshop session, participants took turns trying out Virtual Reality tools provided by the speaker. The evaluation through a questionnaire received a positive response from participants with a score of 4.12, indicating agreement. It is hoped that this workshop will provide a broader insight into the younger generation regarding the application of technology, especially in the creation of 2D and 3D animations.
Analisis Sentimen Masyarakat Indonesia Terhadap Dampak Penurunan Global Sebagai Akibat Resesi di Twitter Sutresno, Stephen Aprius
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3149

Abstract

A recession is a significant reduction in economic activity and is spread across the economy at its greatest for more than a few months, but it can also be seen in Real GDP, Real Income, Employment, Industrial Production, and Wholesale-Retail Sales. Recently, there has been a lot of public opinion regarding the recession that will occur in 2023, especially in Indonesia, on various social media such as Twitter. Based on these problems, sentiment analysis was carried out on tweets to obtain information on the positive or negative polarity of these opinions using the Naive Bayes and Support Vector Machine (SVM) methods to choose a more effective way in case studies to determine sentiment predictions. The steps are taken consist of data collection, processing data, weighting data, classification process, evaluation, validation, and results and discussion. The web scraping technique was used, and after going through the data cleaning stages, a total of 780 tweet data was obtained. The results of the classification test show that the SVM method has a greater accuracy rate with a proportion of 79.5% compared to the Naive Bayes method with a proportion of 72.5%. The SVM method's prediction results also show several 144 positive and 636 negative sentiments. Judging from the Wordcloud that was formed, it can be assumed that people are worried about their economic conditions, one of which is the unstable oil price which can trigger a recession.
Pelatihan Pembuatan Konten Media Sosial Tiktok Bagi Pelajar SMA/SMK di Wilayah Provinsi Banten: Training on TikTok Social Media Content Creation for High School Students in the Province of Banten Sutresno, Stephen Aprius; Suni, Eugenius Kau; Bata, Julius Victor Manuel; Christanto, Henoch Juli; Airlangga, Gregorius; Sihombing, Denny Jean Cross; Philia, Gregoria
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 9 No 2 (2024): Agustus
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v9i2.4651

Abstract

Media Sosial Tiktok sangat melekat dengan keseharian generasi Z yang saat ini masih duduk di bangku sekolah. Tiktok terkadangan membuat anak-anak usia sekolah menghabiskan waktu secara berlebihan bermain gadget hingga mengganggu waktu belajarnya. Untuk meningkatkan produktivitas di media sosial, prodi Sistem Informasi Universitas Katolik Indonesia Atma Jaya menggelar pelatihan pembuatan konten Tiktok bagi pelajar SMA dan SMK di wilayah Tangerang, Banten. Narasumber pelatihan ini yang juga seorang influencer Tiktok berhasil meningkatkan pengetahuan dan keterampilan pelajar SMA dan SMK yang mengikuti pelatihan ini. Sebab pada proses pelatihannya peserta selain menerima penjelasan tentang materi berkonten, mereka juga langsung didampingi pada sesi praktek membuat konten Tiktok. Hasilnya, peserta semakin mampu membuat konten review kegiatan, review fasiltas dan tempat, dan konten informatif lainnya. Nilai pre-test dan post-test juga menunjukan bahwa terjadi peningkatan pengetahuan sebesar 74,4 persen pada peserta dalam pelatihan ini.
Co-Authors Ade Iriani Airlangga, Gregorius Alvalent, Derrel Angkur, Lusiana V.G Artpinkan, Tamaria H Bata, Julius Victor Manuel Bernardus Alvin Rig Biafra Daffa Farabi Charmelita, Pauelina Christanto, Henoch Juli Christine Christine Christine Dewi Dagha, Willyam Chrisna Umbu Denny Jean Cross Sihombing Denny Jean Cross Sihombing Dominikus Vieri Tegar Linestyo Eko Sediyono Elfin Saputra Eugenius Kau Suni Eugenius Kau Suni Eugenius Kau Suni Gerald Edgard Laukon Gilberto Dennis G E Sidabutar Gilberto Dennis G E Sidabutar Henoch Juli Christanto Henoch Juli Christanto Henoch Juli Christanto Henoch Juli Christanto Henoch Juli Christanto Herlambang, Frederik Wiriawan Hiuredhy, Davin Kurnia Jesslyn Alvina Seah Juli Christanto, Henoch Julius Bata Julius Victor Manuel Bata Lim, Ricardo Jonathan Linestyo, Dominikus Vieri Tegar Mavish, Steven Octa Hutapea Othernima, Desi C Pedro Manuel Lamberto Buu Sada Philia, Gregoria Pijar Karisma Prihanto Piolo, Samuel Prihanto, Pijar Karisma Purwoko, Agus Radyan Rahmananta Raharjo, Julius Kevin Rudyanto, Robby Sentya Setiawan, Yohanes Evan Sidabutar, Gilberto Dennis G E Sidhunata, Billy Macarius Siemens Benyamin Tjhang Suni, Eugenius Kau Valentina, Vierena Vincentius Setiawan Suandi Widiarto, Sandra Octaviani B Widiarto, Sandra Oktaviani B Yerik Afrianto Singgalen Yoel Krisrian