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All Journal Journal of Applied Data Sciences Journal of Agriculture (JoA) Jurnal Komputasi
Frangky Jessy Paat
Universitas Sam Ratulangi
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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COMPOUND CONTENT OF LOCAL CURCUMIN (CURCUMA XANTHORRHIZA) IN NORTH SULAWESI, INDONESIA Demmassabu, Langimanapa Sofia; Paat, Frangky Jessy; Turang, Deflly Ansye Shilfana; Tumbelaka, Selvie; Mamuaja, Christine F; Wantasen, Sofia; Toding, Marjam M.; Pongoh, Jantje; Paulus, Jeanne Martje
Journal of Agriculture Vol. 2 No. 02 (2023): Research Articles, July 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/joa.v2i02.2751

Abstract

This Zingiberaceae plant is widely used as medicine, including temulawak. Because curcuma (C.xanthorrhiza) is a medicinal plant that has many benefits and includes plants needed in large quantities compared to other medicinal plants. Traditionally rhizomes Temulawak is used to treat stomach ailments, liver disorders, constipation, diarrhea, dysentery, fever, hemorrhoids, hypotriglyceridaemic, and anti-inflammatory. Study about plant Curcuma local ignite still not enough researched so that not yet get information compounds which contained in the local curcuma of North Sulawesi for the development for biopharmaceutical development, mapping in the distribution of plants, ecology, plant conservation and protection to maintain local wisdom. Histochemical Test is a method to determine the content of chemical compounds in a plant tissue qualitative. Testing can be done by adding a special reagent or solution to the incision organ plant and will give color which Specific. Activity study this will test curcumin compound group on local ginger from North Sulawesi by histochemical method. research that done is study non experiment with design descriptive qualitative. The results showed that North Sulawesi local white temulawak powder contained curcumin in a sample with a sample weight of 0.10 g at a sample spotting volume of 20 µl with a sample spotting volume of 2040 nanograms, curcumin levels were <0.10 nanograms/mg. Curcumin biosynthesis is influenced by site conditions, agro-climate, genotype, and plant cultivation.
THE EFFECT OF ARABICA AND ROBUSTA COFFEE BLENDS ON CAFFEINE CONTENT, ACIDITY AND ORGANOLEPTIC PROPERTIES OF INSTANT COFFEE Langi, Tineke M; Paat, Frangky Jessy; Kusuma, Samuel D. A.; Oessoe, Yoakhim Y.E.; Liwu, Suzanne L.; Mamuaja, Christine F; Latumakulita, Luther A.; Tooy, Dedie; Rumambi, David P; Pinatik, Herry F; Mamarimbing, Rinny
Journal of Agriculture Vol. 2 No. 02 (2023): Research Articles, July 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/joa.v2i02.2806

Abstract

One of the types of coffee in Indonesia that can be processed into instant coffee is Gayo coffee. This research was conducted to find out the quality of instant coffee brewed in a mixture of arabica and robusta Gayo coffee. The method used in this research is a complete randomized design method (RAL) consisting of five treatments of a mixture of arabica coffee and robusta Gayo by making observations on acidity levels (pH), caffeine levels, and organoleptic of instant coffee brewing. The results showed that the mixed instant coffee types of Arabica and Robusta Gayo from each formulation produced different levels of acidity with a pH value of 5.55 – 6.43 and a different caffeine concentration with a value of 2.79% - 3.27% and qualified the quality requirements of the 2014 Indonesian National Standard (SNI) with a caffeine concentration value above a minimum of 2.5%. The brewing taste favored by the panelists was Gayo instant coffee, a mixture of 50% Arabica: 50% Robusta with a mild sour and bitter taste, a pH value of 5.94, and a caffeine content of 3.19%. The color and aroma of the coffee brewing favored by the panelists was Gayo instant coffee, a mixture of 70% arabica: 30% robusta with the quality of the brewing color of dark chocolate, the aroma of a little spice, the pH value of 5.55 , and the caffeine content of 2.79%.
PHYSICO-CHEMICAL PROPERTIES OF REFINED OIL BASED ON MATURITY LEVEL AND DRYING TIME OF NUTMEG MACE (MYRISTICA FRAGRANS HOUTT) Mamuaja, Christine F; Lumuindong, Frans; Paat, Frangky Jessy; Kaurow, Welly A.; Oessoe, Yoakhim J.E.; Rorong, Frangky
Journal of Agriculture Vol. 2 No. 02 (2023): Research Articles, July 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/joa.v2i02.2831

Abstract

This research aims to study and determine the level of full maturity and the appropriate and best drying time for nutmeg mace so that a high yield of mace oil is produced with physico-chemical properties that meet Buenther's criteria. Ripe nutmeg will produce good quality nutmeg and mace when used as spices for export. Apart from that, old nutmeg mace can still be used for its essential oil because the oil content is still quite high. To get nutmeg oil from the fruit when it is young, you can also get mace which has a high level of oil content. The water content in mace is quite high so it is easy for mold to grow and will affect the oil yield and possibly also the physico-chemical properties of the oil. This research is a factorial experiment using a Completely Randomized Design (CRD) consisting of two factors. Factor A, namely the maturity level of mace, consists of two levels, namely full young and old mace. Factor B is the drying time of mace with four levels, namely 0, 8,16 and 24 hours. Each treatment was repeated three times. The oven drying temperature was 40° C and distillation was carried out for 20 hours. The results of the research for each level of mace maturity gave significant differences to the yield, specific gravity, refractive index, optical rotation and acid number of the refined oil, while the length of drying of the mace gave a real difference to the physico-chemical properties of the mace oil. The best results obtained were young mace which was dried for 24 hours with the following characteristics, full water content of 6.77%, mace oil yield of 12.8889 ml/100 grams of material, specific gravity of mace oil 0.9255; full oil refractive index 1.4871; The optical rotation of the oil is (+) 6.3433 and the acid number of mace oil is 2.29.
ANTIOXIDANT ACTIVITY ON SARRABBA IS BASED ON THE PROPORTION OF RED GINGER EXTRACT (ZINGIBER OFFICINALE ROSCOE) AND CINNAMON EXTRACT (CINNAMOMUM VERUM J. PRESL) Oessoe, Yoakhim Y.E.; Assa, Jan R.; Paat, Frangky Jessy; Tangkeallo, Sindy C. T.; Tooy, Dedie; Koapaha, Teltje; Tumbelaka, Selvie; Mamuaja, Christine F; Latumakulita, Luther A.
Journal of Agriculture Vol. 2 No. 02 (2023): Research Articles, July 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/joa.v2i02.2832

Abstract

This study aims to evaluate the antioxidant activity, total phenol, yield and evaluation of the panelists' preference level including color, taste and aroma of instant sarabba. Sarabba is processed into an instant drink to extend the shelf life of the sarabba drink and is practical.  The research method used was a completely randomized design (CRD) method with 4 treatment levels of the proportions of red ginger extract and cinnamon extract namely A (100% : 0%), B (95% : 5%), C (90% : 10%) ) and D (85% :15%) with 3 repetitions. The analytical method used in this research is the Folin Chiocalteau method for the total phenol test, the DPPH (1,1-diphenyl, -2 picrylhydrazyl) method for the antioxidant activity test. The results showed that the IC50 of instant sarabba ranged from 662.13 - 886.93 ppm and total phenol ranged from 2.21 - 6.75 mgGAE/100 g sample. Treatment of the proportion of 100% red ginger extract and 0% cinnamon extract had the strongest antioxidant activity with IC50 of 662.13 ppm and total phenol with a value of 6.75 mgGAE/100 g simple
Pemilihan Ukuran Kail Optimal Berbasis Karakteristik Ikan Laut Menggunakan Metode AHP-SAW: Studi Kasus di Perairan Sekitar Kota Manado Sanriomi Sintaro; Frangky Jessy Paat; Luther Alexander Latumakulita
Jurnal Komputasi Vol. 13 No. 1 (2025)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v13i1.289

Abstract

Keberhasilan kegiatan penangkapan ikan dengan metode pancing sangat dipengaruhi oleh pemilihan ukuran dan jenis kail yang sesuai. Setiap spesies ikan memiliki karakteristik biologis yang berbeda, seperti berat tubuh dan ukuran mulut, yang harus dipertimbangkan dalam pemilihan kail agar aktivitas penangkapan menjadi lebih efisien dan berkelanjutan. Penelitian ini bertujuan untuk mengembangkan model pengambilan keputusan yang sistematis dalam pemilihan ukuran kail optimal untuk berbagai spesies ikan. Metode yang digunakan adalah kombinasi Analytic Hierarchy Process (AHP) untuk menentukan bobot kriteria dan Simple Additive Weighting (SAW) untuk merangking alternatif ukuran kail berdasarkan kriteria tersebut. Empat kriteria utama yang dipertimbangkan meliputi kesesuaian ukuran mulut ikan, kapasitas berat maksimum kail, kekuatan bahan kail, dan ketersediaan kail di pasaran. Proses SAW dilakukan secara spesifik untuk setiap spesies ikan, dengan mempertimbangkan karakteristik biologis masing-masing ikan sebagai tahap penyaringan awal. Hasil penelitian menunjukkan bahwa ukuran kail optimal sangat bervariasi tergantung pada spesies ikan target. Ikan berukuran besar seperti Tuna dan Marlin direkomendasikan menggunakan ukuran kail besar (9/0, 8/0), sementara ikan kecil seperti Roa dan Baronang lebih sesuai dengan ukuran kail kecil. Model AHP-SAW yang dibangun terbukti efektif dalam memberikan rekomendasi ukuran kail yang lebih objektif, sistematis, dan aplikatif. Temuan ini diharapkan dapat membantu meningkatkan efisiensi dan keberlanjutan praktik penangkapan ikan di lapangan. Ke depan, validasi lapangan bersama komunitas nelayan direncanakan untuk menguji efektivitas model ini di praktik penangkapan nyata. Selain itu, pengembangan sistem rekomendasi otomatis berbasis aplikasi diharapkan dapat meningkatkan penerapan model ini secara praktis di kalangan pelaku perikanan.
Pattern Recognition of Puta Dino Fabric Using Web-Based Convolutional Neural Network Method Latumakulita, Luther Alexander; Rumagit, Silviani Esther; Lumentut, Hence Beedwel; Paat, Frangky Jessy; Kaplale, Jaidun Ramadhan; Sela, Enny Itje
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1103

Abstract

This study aims to develop an intelligent system capable of recognizing traditional woven motifs of Puta Dino, a culturally significant textile from Tidore Island. These motifs are visually complex, poorly documented, and hard for the public to distinguish, highlighting the need for a digital tool to support cultural preservation and accurate identification. This research is the first to build a structured Puta Dino motif database and provide an integrated model designed for real-world use. The approach captured primary images of eight validated motifs and applied systematic preprocessing, including normalization and data augmentation, to enhance variability and strengthen the dataset. A lightweight deep learning model predicated on a convolutional neural network was designed to achieve a compromise between accuracy and computational efficiency. The system was evaluated through cross-validation and independent test data, as well as multiple real-world trials utilizing a web interface. These trials involved different image capture scenarios, including from a distance, moderate distance, close and angled views, and when the fabric surface was folded. The model architecture and system interface with the system are illustrated in the relevant figures, and the tables provide performance data on the system’s training, accuracy in motif classification, and achieved results in real-world conditions. The system demonstrated excellent classification accuracy in controlled test conditions. It showed real-world competency, accurately classifying most motifs in various conditions. The data also point to specific issues with motif recognition in extreme distortion cases, which reflect the typical issues of laboratory-to-field model deployment. The outcomes clearly demonstrate both the possibilities and the limitations of the currently available recognition of culturally significant textiles. The study concludes by exploring the possibilities of expanding the dataset and increasing the depth of learning through more sophisticated techniques, as well as enhancing accessibility to promote sustained community and cultural engagement.
Co-Authors Assa, Jan Rudolf Dedie Tooy Demmassabu, Langimanapa Sofia Enny Itje Sela Hence Beedwel Lumentut, Hence Beedwel Jantje Pongoh Jeanne Martje Paulus, Jeanne Martje Kaplale, Jaidun Ramadhan Kaurow, Welly A. Kusuma, Samuel D. A. Liwu, Suzanne L. Lumuindong, Frans Luther Alexander Latumakulita Luther Latumakulita Mamuaja, Christine F Oessoe, Yoakhim J.E. Oessoe, Yoakhim Y.E. Pinatik, Herry F Rinny Mamarimbing Rorong, Frangky Rumagit, Silviani Esther Rumambi, David P Sanriomi Sintaro Selvie Tumbelaka Sofia Wantasen Tangkeallo, Sindy C. T. Teltje Koapaha Tineke M. Langi TODING, MARJAM M. Turang, Deflly Ansye Shilfana