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All Journal Jurnal Teknologi Informasi MURA Jurnal Pengabdian Masyarakat Jamak Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Teknologi Informasi Mura Jurnal Administrasi Terapan
Matuankotta, Febiola
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Nursing Social Sciences Other

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PELATIHAN PENGOLAHAN CUMI-CUMI BAGI KELOMPOK PEMBERDAYAAN UMKM JEMAAT GPM NOLLOTH Fredriksz, Grace; Luturmas, Join R.; Matuankotta, Febiola; Tahalele, Marie Ch.; Sapulette, Alvian; Hursepuny, Harold; Salhuteru, Andrie Ch.; Hahury, Jessy J.; Alvonso, Poserattu V.; Siahainenia, Ashwin
JURNAL PENGABDIAN MASYARAKAT JAMAK Vol. 8 No. 1 (2025): Juni
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jpmj.v8i1.3357

Abstract

Desa Nolloth di Kecamatan Saparua Timur memiliki potensi besar pada sektor perikanan, khususnya hasil tangkapan cumi-cumi. Namun, pemanfaatan hasil laut ini masih terbatas pada penjualan bahan mentah dengan nilai ekonomi yang rendah. Pengabdian ini bertujuan untuk memberdayakan kelompok UMKM Jemaat GPM Nolloth melalui pelatihan pengolahan cumi menjadi sambal cumi kemasan. Metode pelaksanaan meliputi pendekatan partisipatif, pelatihan teknis pengolahan dan pengemasan produk, edukasi sanitasi, pemasaran digital, serta pembentukan kelompok produksi kecil. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan dan keterampilan peserta, terbentuknya produk siap jual, serta munculnya komitmen berkelanjutan dari jemaat. Pelatihan ini tidak hanya meningkatkan nilai jual cumi, tetapi juga mendorong kewirausahaan berbasis potensi lokal dan ketahanan ekonomi masyarakat pesisir. Program ini diharapkan menjadi model pemberdayaan yang dapat direplikasi pada komunitas serupa di wilayah lain. Kata kunci: sambal cumi; UMKM; pemberdayaan masyarakat; pelatihan pengolahan
Peningkatan Literasi Digital dan Keamanan Siber Bagi Siswa SMAS BPD Tobelo Selatan Pattiasina, Tiska; Luturmas, Join Rachel; Fredriksz, Grace; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 4 (2025): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i4.1093

Abstract

The development of digital technology has had a significant impact on high school students, particularly in their use of the internet and social media. However, the lack of digital literacy and cybersecurity awareness remains a problem that needs to be addressed. This community service activity aims to improve digital literacy and cybersecurity understanding among students at SMAS BPD Tobelo Selatan. The methods used included lectures, discussions, and QA sessions, with material covering digital literacy, social media ethics, cyberbullying, hoaxes, and personal data protection. The activity was held offline on September 7, 2025, with 15 students participating. Evaluation was conducted using a Guttman Scale questionnaire to assess participant responses to the activity. Results showed that all students (100%) expressed satisfaction, indicating that the activity successfully improved students' understanding of digital literacy and cybersecurity. Therefore, this community service activity makes a positive contribution in equipping students with wise, safe, and responsible digital skills to face the challenges of the digital era.
PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Pattiasina, Tiska; Fredriksz, Grace; Luturmas, Join Rachel; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Abstract

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.
PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Pattiasina, Tiska; Fredriksz, Grace; Luturmas, Join Rachel; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Abstract

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.
ANALISA BREAK EVEN POINT SOFA MINIMALIS PADA USAHA SOFA GALI PUAN DI KOTA AMBON Sombalatu, Abdullah; Matuankotta, Febiola; Rutumalessy, Sherly
Jurnal Administrasi Terapan Vol. 5 No. 1 (2026): Maret
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v5i1.3846

Abstract

Sofa Gali Puan is a business engaged in sofa furniture, which produces minimalist sofas to be sold to consumers and marketed to the public. So far, the amount of profit obtained is not known for sure. Because until now the Sofa Gali Puan business has never calculated the Break Even Point to plan their business profits in the coming period. The purpose of this study is to analyze the production of Minimalist Sofas in achieving Break Even PointIn this study, a quantitative analysis method was used, namely the calculation of break even points in units and rupiah. The results of the research obtained are Break Even Point in the number of units for minimalist sofas in the Gali Puan Sofa Business is 68 sets of minimalist sofas. Break Even Point in rupiah is at Rp.370,555,555.55The conclusion of this writing is that the Gali Puan Business will be at the break-even point or main return point when producing minimalist sofas of 68 sets at a cost of Rp.370,555,555.55. That means that the company is at break-even at that point, so the company doesn't experience any profits or losses. Thus, for the Gali Puan sofa business, it must continue to calculate the Break Even Point to find out what level of sales must be achieved which has an impact on the achievement of profits in the future. Keywords: Break Even Point (BEP)
Co-Authors Alvonso, Poserattu V. Fredriksz, Grace Hahury, Jessy J. Hursepuny, Harold Jupriyanto . Luturmas, Join R. Luturmas, Join Rachel Nunumete, Laura S Pattiasina, Tiska Rutumalessy, Sherly Salhuteru, Andrie CH Salhuteru, Andrie Ch. Sapulette, Alvian Siahainenia, Ashwin Sombalatu, Abdullah Tahalele, Marie Ch.